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   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Logistic regression: using general fit (for paper)\n",
    "\n",
    "Exploring different fitting techniques and using MLE asymptotic approx of parameter distribution to estimate model CI intervals.\n",
    "\n",
    "Using Logistic regression class and considering full data and trimmed."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e18cec5e",
   "metadata": {},
   "source": [
    "## Common"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3b351af7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy\n",
    "import numdifftools as nd\n",
    "\n",
    "import os\n",
    "import pickle\n",
    "\n",
    "# our libs\n",
    "import data_utils\n",
    "import report_utils\n",
    "import logit_gen\n",
    "\n",
    "np.set_printoptions(precision=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0de7f02-942b-42ff-874c-3c0e2ac1e0dc",
   "metadata": {},
   "source": [
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3373f87f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "verbose = False\n",
    "\n",
    "results_path = \"./results\"\n",
    "if not os.path.exists(results_path): os.makedirs(results_path)\n",
    "\n",
    "data_path = \"../../data/\"\n",
    "suv_filename = os.path.join(data_path, \"suv_percentilesSLOthenUWM.mat\")\n",
    "flags_filename = os.path.join(data_path,\"flags_combined.mat\")\n",
    "normal_range_filename = os.path.join(data_path, \"normal_range.mat\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "811d990d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Loading all data from mat files\n",
    "\"\"\"\n",
    "suv_dict = scipy.io.loadmat(suv_filename)\n",
    "flags_dict = scipy.io.loadmat(flags_filename)\n",
    "normal_range_dict = scipy.io.loadmat(normal_range_filename)"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "\"\"\"\n",
    "Data preparation\n",
    "\"\"\"\n",
    "# get data\n",
    "perc = 95\n",
    "organ = \"lung\"\n",
    "\n",
    "x0, y0 = data_utils.get_data(organ, perc, suv_dict, flags_dict)\n",
    "\n",
    "# values for trimmed dataset\n",
    "value_to_drop = 2.48    # target value\n",
    "tol = 1e-2              # tolerance: matches 2.481... too\n",
    "drop_mask = (np.abs(x0 - value_to_drop) <= tol)\n",
    "\n",
    "df_data = data_utils.prepare_data(x0, y0, drop_mask)\n",
    "df_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f27d9a03",
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    {
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     "output_type": "stream",
     "text": [
      "Index(['X', 'Y', 'scale', 'dataset'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df_data.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35e9bb7b-5a50-4cae-9af4-261c11453dd4",
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   "source": [
    "## Fit\n",
    "\n",
    "Ref: logistic regression documentation\n",
    "* https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
    "* https://stats.stackexchange.com/questions/186830/what-is-scikit-learns-logisticregression-minimizing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "239ae789",
   "metadata": {
    "tags": []
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>beta</th>\n",
       "      <th>cost</th>\n",
       "      <th>cost_jac</th>\n",
       "      <th>|cost_jac|</th>\n",
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       "      <th>|nllf_jac|</th>\n",
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       "      <th>...</th>\n",
       "      <th>AIC</th>\n",
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       "      <th>n</th>\n",
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       "      <th>0</th>\n",
       "      <td>log</td>\n",
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       "      <td>4.605007</td>\n",
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       "      <td>TRIM</td>\n",
       "      <td>[-450.07680368953027, 727.8267253468076, -395....</td>\n",
       "      <td>2.480642</td>\n",
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       "   scale dataset                                               beta      cost  \\\n",
       "0    log    FULL  [-40.70879005016246, 152.8957541088957, -186.3...  4.605007   \n",
       "1    log    TRIM  [-318.62703678894434, 1693.4607032804988, -300...  1.700810   \n",
       "2  plain    FULL  [-123.99338830495903, 163.7953875610666, -71.4...  4.782070   \n",
       "3  plain    TRIM  [-450.07680368953027, 727.8267253468076, -395....  2.480642   \n",
       "\n",
       "                                            cost_jac    |cost_jac|      nllf  \\\n",
       "0  [-4.4716311166836855e-09, 2.4351905477142898e-...  1.240648e-08  4.602970   \n",
       "1  [1.5222360334244713e-07, 1.416483789282284e-06...  1.919422e-06  1.592275   \n",
       "2  [4.6066595222053926e-07, 5.599038372149473e-08...  1.891118e-05  4.766500   \n",
       "3  [-2.5566247719864457e-07, -6.366448335278142e-...  1.100406e-05  2.277128   \n",
       "\n",
       "                                            nllf_jac  |nllf_jac|  \\\n",
       "0  [8.141310846920824e-05, 2.4351707714782473e-09...    0.000090   \n",
       "1  [0.0006374062971812311, 1.4164259196137577e-06...    0.000659   \n",
       "2  [0.0002484474425621386, 5.5990188463032156e-08...    0.000250   \n",
       "3  [0.0008998979449018618, -1.1483587595248132e-0...    0.000903   \n",
       "\n",
       "                                                 cov  ...        AIC  \\\n",
       "0  [[83.89825888440025, 3.676033906173065e-08, 8....  ...  17.205940   \n",
       "1  [[4027.222314184979, 0.0010511889185493095, -1...  ...  11.184550   \n",
       "2  [[356.44721383498967, 7.96314485426866e-07, 4....  ...  17.533000   \n",
       "3  [[403428.69698103215, 1099.0142638091388, -739...  ...  12.554256   \n",
       "\n",
       "         BIC         A      chi2  p-value(chi2)   n  k  dof  \\\n",
       "0  25.447712  0.948276  8.316716            1.0  58  4   54   \n",
       "1  19.356755  0.982456  2.348788            1.0  57  4   53   \n",
       "2  25.774773  0.965517  9.164992            1.0  58  4   54   \n",
       "3  20.726461  0.964912  3.848685            1.0  57  4   53   \n",
       "\n",
       "                                                pars  success  \n",
       "0  [-40.70879005016246, 9.888118021230716e-09, -1...     True  \n",
       "1  [-318.62703678894434, 2.8934834263112336e-05, ...     True  \n",
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       "\n",
       "[4 rows x 25 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# defining two-sided confidence intervals\n",
    "alpha = 0.05   # significance level\n",
    "probs = [alpha/2, 1 - alpha/2]\n",
    "\n",
    "# fits\n",
    "lg = logit_gen.LogisticPolyRegression(3, mono = True, lam = (0, 1e-6))\n",
    "\n",
    "lst = []\n",
    "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    if verbose: print(f\"Fitting: {scale}, {dataset}\")\n",
    "\n",
    "    # data associated to scale and dataset\n",
    "    X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n",
    "\n",
    "    # fit\n",
    "    res_fit = lg.fit(X, Y, method=\"diff_evol\")\n",
    "    \n",
    "    # calc nllf and beta for fitted pars\n",
    "    res_nllf = lg.get_nllf(X, Y, res_fit['pars'], jac = True)\n",
    "\n",
    "    # cost and jacobian norm\n",
    "    cost = lg.get_cost(X, Y, res_fit['pars'], jac = True)\n",
    "    \n",
    "    # beta of fitted pars\n",
    "    beta = lg.get_beta(res_fit['pars'])\n",
    "    \n",
    "    # covariance matrix of pars\n",
    "    cov = lg.get_cov(X, Y, res_fit['pars'])\n",
    "    \n",
    "    # standard error of pars\n",
    "    pars_SE = lg.get_SE_pars_normal(cov)\n",
    "\n",
    "    # CI of params (assuming asymptotic distr of parameters) : Wald approximation\n",
    "    pars_CI = lg.get_pars_quantiles_normal(probs, res_fit['pars'], cov)\n",
    "    \n",
    "    # goodness of fit\n",
    "    res_gof = lg.goodness_of_fit(X, Y, res_fit['pars'])\n",
    "\n",
    "    lst.append(\n",
    "        {\"scale\": scale, \"dataset\": dataset, \"beta\": beta} | \n",
    "        {\"cost\": cost[0], \"cost_jac\": cost[1], \"|cost_jac|\": np.linalg.norm(cost[1])} |\n",
    "        {\"nllf\": res_nllf[0], \"nllf_jac\": res_nllf[1], \"|nllf_jac|\": np.linalg.norm(res_nllf[1])} | \n",
    "        {\"cov\": cov, \"cov_evals\": np.linalg.eigvals(cov)} |\n",
    "        {\"SE\": pars_SE, \"LCL\": pars_CI[0], \"UCL\": pars_CI[1]} |\n",
    "        res_gof |res_fit)\n",
    "\n",
    "df_fit = pd.DataFrame(lst)\n",
    "df_fit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aa65982",
   "metadata": {},
   "source": [
    "## Checking stuff"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2851e6d3",
   "metadata": {},
   "source": [
    "Problem: The entries in covariance matrices are quite large.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9de8d697",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking: log, FULL\n",
      "Cost jacobian:\n"
     ]
    },
    {
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   "source": [
    "scales = df_data[\"scale\"].unique()\n",
    "datasets = df_data[\"dataset\"].unique()\n",
    "\n",
    "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    print(f\"Checking: {scale}, {dataset}\")\n",
    "\n",
    "    # data associated to scale and dataset\n",
    "    X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n",
    "\n",
    "    # fit\n",
    "    res_fit = df_fit.loc[(df_fit['scale'] == scale) & (df_fit['dataset'] == dataset)].iloc[0]\n",
    "    \n",
    "    pars = res_fit['pars']\n",
    "    \n",
    "    print(\"Cost jacobian:\")\n",
    "    cost_fun = lambda p: lg.get_cost(X, Y, p, jac = False)\n",
    "    display(pd.DataFrame({'cost_jac': res_fit['cost_jac'], 'gradient': nd.Gradient(cost_fun)(pars)}).T)\n",
    "\n",
    "    print(\"nllf jacobian:\")\n",
    "    nllf_fun = lambda p: lg.get_nllf(X, Y, p, jac = False)\n",
    "    display(pd.DataFrame({'nllf_jac': res_fit['nllf_jac'], 'gradient': nd.Gradient(nllf_fun)(pars)}).T)\n",
    "\n",
    "    numH = nd.Hessian(cost_fun)(pars)\n",
    "    directH = lg.get_cost_hessian(X, Y, pars)\n",
    "    print(\"num hess:\")\n",
    "    display(pd.DataFrame(numH))\n",
    "    print(\"direct hess:\")\n",
    "    display(pd.DataFrame(directH))\n",
    "\n",
    "    print('cov via directH:') \n",
    "    display(pd.DataFrame(res_fit['cov']))\n",
    "    print('inv_hess cost:')\n",
    "    display(pd.DataFrame(np.linalg.pinv(numH)))\n",
    "\n",
    "    print('eigenvalues directH:') \n",
    "    display(pd.DataFrame(np.linalg.eigvals(directH)))\n",
    "    print('eigenvalues numH:')\n",
    "    display(pd.DataFrame(np.linalg.eigvals(numH)))\n",
    "\n",
    "    print(\"cond directH:\", np.linalg.cond(directH))\n",
    "    print(\"cond numH:\", np.linalg.cond(numH))\n",
    "\n",
    "    print(\"difference between hessians:\")\n",
    "    display(pd.DataFrame(directH - numH))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ee83ebac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking: FULL\n",
      "Checking: TRIM\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_fit_res(scale, dataset):\n",
    "    return df_fit.loc[(df_fit['scale'] == scale) & (df_fit['dataset'] == dataset)].iloc[0]\n",
    "\n",
    "def get_data(scale, dataset):\n",
    "    g = df_data.loc[(df_data['scale'] == scale) & (df_data['dataset'] == dataset)]\n",
    "    return g['X'].to_numpy(), g['Y'].to_numpy()\n",
    "\n",
    "scales = df_data[\"scale\"].unique()\n",
    "datasets = df_data[\"dataset\"].unique()\n",
    "\n",
    "plot_labs = dict(zip(datasets, ['A', 'B']))\n",
    "\n",
    "fig, axs = plt.subplots(\n",
    "    ncols = len(datasets),\n",
    "    nrows = 1,\n",
    "    figsize = (5*len(datasets), 4),\n",
    "    layout = \"constrained\",\n",
    "    sharey=True)\n",
    "\n",
    "for ax, dataset in zip(axs, datasets):\n",
    "\n",
    "    print(f\"Checking: {dataset}\")\n",
    "    res_fit = get_fit_res(\"log\", dataset)\n",
    "    X, Y = get_data(\"log\", dataset)\n",
    "\n",
    "    pars = res_fit['pars']\n",
    "    #ax.set_title(f\"log, {dataset}\")\n",
    "    # label on plots\n",
    "    ax.text(0.05, 0.05, f\"{plot_labs[dataset]}\", fontsize=14, transform=ax.transAxes)\n",
    "    \n",
    "    for j in range(len(pars)):\n",
    "\n",
    "        x_tmp = np.linspace(-200, 200, 400)\n",
    "        y_tmp = np.zeros_like(x_tmp)\n",
    "        \n",
    "        for i, dp in enumerate(x_tmp):\n",
    "            pars_tmp = pars.copy()\n",
    "            pars_tmp[j] = pars_tmp[j] + dp\n",
    "            y_tmp[i] = lg.get_cost(X, Y, pars_tmp, jac = False)\n",
    "\n",
    "        ax.plot(x_tmp, y_tmp, label = f\"parameter {j}\")\n",
    "        ax.set_yscale(\"log\")\n",
    "        ax.set_xlabel(f\"parameter perturbation\")\n",
    "        ax.set_ylabel(\"cost\")\n",
    "\n",
    "\n",
    "for ax in axs.flat:  ax.label_outer()\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "fig.legend(handles, labels, bbox_to_anchor=(0.975, 0.3), loc='center right')\n",
    "\n",
    "plt.savefig(os.path.join(results_path, \"logit_cost_min_paper.pdf\"), bbox_inches = \"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4070360",
   "metadata": {},
   "source": [
    "## Show fit results "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9e51e07c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['scale', 'dataset', 'beta', 'cost', 'cost_jac', '|cost_jac|', 'nllf',\n",
       "       'nllf_jac', '|nllf_jac|', 'cov', 'cov_evals', 'SE', 'LCL', 'UCL', 'LLF',\n",
       "       'AIC', 'BIC', 'A', 'chi2', 'p-value(chi2)', 'n', 'k', 'dof', 'pars',\n",
       "       'success'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fit.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1a0a518b",
   "metadata": {},
   "outputs": [
    {
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         "name": "|cost_jac|",
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         "name": "cost",
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         "type": "float"
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        {
         "name": "chi2",
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         "type": "float"
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        {
         "name": "p-value(chi2)",
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         "type": "float"
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>AIC</th>\n",
       "      <th>BIC</th>\n",
       "      <th>A</th>\n",
       "      <th>n</th>\n",
       "      <th>k</th>\n",
       "      <th>|cost_jac|</th>\n",
       "      <th>dof</th>\n",
       "      <th>cost</th>\n",
       "      <th>chi2</th>\n",
       "      <th>p-value(chi2)</th>\n",
       "      <th>success</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>log</td>\n",
       "      <td>FULL</td>\n",
       "      <td>17.205940</td>\n",
       "      <td>25.447712</td>\n",
       "      <td>0.948276</td>\n",
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       "      <td>8.316716</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>log</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>11.184550</td>\n",
       "      <td>19.356755</td>\n",
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       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>1.919422e-06</td>\n",
       "      <td>53</td>\n",
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       "      <td>2.348788</td>\n",
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       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>17.533000</td>\n",
       "      <td>25.774773</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>58</td>\n",
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       "      <td>1.891118e-05</td>\n",
       "      <td>54</td>\n",
       "      <td>4.782070</td>\n",
       "      <td>9.164992</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>12.554256</td>\n",
       "      <td>20.726461</td>\n",
       "      <td>0.964912</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   scale dataset        AIC        BIC         A   n  k    |cost_jac|  dof  \\\n",
       "0    log    FULL  17.205940  25.447712  0.948276  58  4  1.240648e-08   54   \n",
       "1    log    TRIM  11.184550  19.356755  0.982456  57  4  1.919422e-06   53   \n",
       "2  plain    FULL  17.533000  25.774773  0.965517  58  4  1.891118e-05   54   \n",
       "3  plain    TRIM  12.554256  20.726461  0.964912  57  4  1.100406e-05   53   \n",
       "\n",
       "       cost      chi2  p-value(chi2)  success  \n",
       "0  4.605007  8.316716            1.0     True  \n",
       "1  1.700810  2.348788            1.0     True  \n",
       "2  4.782070  9.164992            1.0     True  \n",
       "3  2.480642  3.848685            1.0     True  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# goodness of fit measures\n",
    "df_fit[['scale', 'dataset', 'AIC', 'BIC', 'A', 'n', 'k', '|cost_jac|', 'dof', 'cost','chi2', \"p-value(chi2)\", 'success']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "96acc3ab",
   "metadata": {},
   "outputs": [
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       "      <td>85.867994</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>plain</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
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       "      <td>FULL</td>\n",
       "      <td>1</td>\n",
       "      <td>163.795388</td>\n",
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       "      <td>1.320484</td>\n",
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       "      <td>2.588102</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>2</td>\n",
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       "      <td>plain</td>\n",
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       "      <th>12</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>0</td>\n",
       "      <td>-450.076804</td>\n",
       "      <td>-450.076804</td>\n",
       "      <td>635.160371</td>\n",
       "      <td>-1694.968255</td>\n",
       "      <td>794.814648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>1</td>\n",
       "      <td>727.826725</td>\n",
       "      <td>2.55857</td>\n",
       "      <td>2.355416</td>\n",
       "      <td>-2.05796</td>\n",
       "      <td>7.175099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>2</td>\n",
       "      <td>-395.520425</td>\n",
       "      <td>14.727086</td>\n",
       "      <td>11.800401</td>\n",
       "      <td>-8.401275</td>\n",
       "      <td>37.855448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>3</td>\n",
       "      <td>72.295692</td>\n",
       "      <td>-26.856665</td>\n",
       "      <td>20.39387</td>\n",
       "      <td>-66.827916</td>\n",
       "      <td>13.114586</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    scale dataset idx         beta        pars          SE          LCL  \\\n",
       "0     log    FULL   0    -40.70879   -40.70879    9.159599   -58.661275   \n",
       "1     log    FULL   1   152.895754         0.0    2.015071    -3.949467   \n",
       "2     log    FULL   2  -186.372095  -15.072427    2.088266   -19.165353   \n",
       "3     log    FULL   3    75.726014   12.365102    1.282418      9.85161   \n",
       "4     log    TRIM   0  -318.627037 -318.627037     63.4604  -443.007134   \n",
       "5     log    TRIM   1  1693.460703    0.000029    4.519649     -8.85832   \n",
       "6     log    TRIM   2 -3000.895562   72.922797    6.604813    59.977601   \n",
       "7     log    TRIM   3  1772.578121  -41.151679    3.342192   -47.702256   \n",
       "8   plain    FULL   0  -123.993388 -123.993388    18.87981  -160.997135   \n",
       "9   plain    FULL   1   163.795388         0.0    1.320484    -2.588101   \n",
       "10  plain    FULL   2   -71.448848   -5.582701    0.473535    -6.510813   \n",
       "11  plain    FULL   3    10.388852   12.798257    0.888693    11.056451   \n",
       "12  plain    TRIM   0  -450.076804 -450.076804  635.160371 -1694.968255   \n",
       "13  plain    TRIM   1   727.826725     2.55857    2.355416     -2.05796   \n",
       "14  plain    TRIM   2  -395.520425   14.727086   11.800401    -8.401275   \n",
       "15  plain    TRIM   3    72.295692  -26.856665    20.39387   -66.827916   \n",
       "\n",
       "           UCL  \n",
       "0   -22.756305  \n",
       "1     3.949467  \n",
       "2     -10.9795  \n",
       "3    14.878595  \n",
       "4  -194.246939  \n",
       "5     8.858378  \n",
       "6    85.867994  \n",
       "7   -34.601103  \n",
       "8   -86.989641  \n",
       "9     2.588102  \n",
       "10    -4.65459  \n",
       "11   14.540063  \n",
       "12  794.814648  \n",
       "13    7.175099  \n",
       "14   37.855448  \n",
       "15   13.114586  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# table of parameters and their CI (Wald approximation)\n",
    "df_pars = df_fit[[\"scale\", \"dataset\", \"beta\", \"pars\", \"SE\", \"LCL\", \"UCL\"]].copy()\n",
    "\n",
    "# add index column for exploding\n",
    "indices = df_pars[\"pars\"].apply(lambda x: list(range(len(x))))\n",
    "df_pars.insert(2, \"idx\", indices)\n",
    "\n",
    "# convert to long format by exploding the pars, SE, LCL, UCL, beta columns\n",
    "cols = [\"idx\", \"beta\", \"pars\", \"SE\", \"LCL\", \"UCL\"]\n",
    "df_pars_long = df_pars.explode(cols, ignore_index=True)\n",
    "df_pars_long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7438f05d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x axis labels for plots\n",
    "xlabs = {\"plain\": r\"$X$\", \"log\": r\"$\\log(X)$\"}\n",
    "\n",
    "# set index for easier access to fit parameters\n",
    "df_fit_index = df_fit.set_index([\"scale\", \"dataset\"])\n",
    "scales = df_data[\"scale\"].unique()\n",
    "plot_labs = dict(zip(scales[::-1], ['A', 'B']))\n",
    "\n",
    "#\n",
    "# plotting data and fits\n",
    "#\n",
    "\n",
    "fig, axs = plt.subplots(\n",
    "    ncols = len(scales), \n",
    "    figsize = (5*len(scales), 4),\n",
    "    layout = \"constrained\")\n",
    "\n",
    "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    if verbose: print(f\"Plotting: {scale}, {dataset}\")\n",
    "\n",
    "    # data associated to scale and dataset\n",
    "    X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n",
    "\n",
    "    # choose axis and set labels\n",
    "    ax = axs[0 if scale == \"log\" else 1]\n",
    "    ax.set_xlabel(xlabs[scale])\n",
    "    ax.set_ylabel(\"P(AE|X = x)\")\n",
    "\n",
    "    # label on plots\n",
    "    ax.text(0.05, 0.9, f\"{plot_labs[scale]}\", fontsize=14, transform=ax.transAxes)\n",
    "\n",
    "    # data\n",
    "    for i, lab in enumerate([\"NC\", \"AE\"]): \n",
    "        ax.scatter(X[Y == i], Y[Y == i], label = f'data: {dataset} {lab}', alpha = 0.5)\n",
    "\n",
    "    # fitted curve\n",
    "    fit_pars = df_fit_index.loc[(scale, dataset), \"pars\"]\n",
    "    x_fit = np.linspace(X.min(), X.max(), 100)\n",
    "    y_fit = lg.model(x_fit, fit_pars)\n",
    "\n",
    "    ax.plot(x_fit, y_fit, label = f\"fit {dataset}\")\n",
    "\n",
    "for ax in axs.flat:  ax.label_outer()\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "fig.legend(handles, labels, bbox_to_anchor=(0.975, 0.4), loc='center right')\n",
    "\n",
    "plt.savefig(os.path.join(results_path, \"logit_fit_paper.pdf\"), bbox_inches = \"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3c493876",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
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         "rawType": "float64",
         "type": "float"
        },
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         "name": "1",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "3",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "f9f80d63-9c9b-4eee-bd52-eeaa8d69da6c",
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       "shape": {
        "columns": 4,
        "rows": 4
       }
      },
      "text/html": [
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       "<style scoped>\n",
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      ],
      "text/plain": [
       "               0            1            2             3\n",
       "0  403428.696981  1099.014264 -7398.882397  12934.579993\n",
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       "2   -7398.882397   -19.530028   139.249473   -239.221730\n",
       "3   12934.579993    35.321614  -239.221730    415.909935"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(df_fit_index.loc[(\"plain\", \"TRIM\"), \"cov\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "995a7c29",
   "metadata": {},
   "outputs": [
    {
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       "              0             1             2             3\n",
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     "execution_count": 14,
     "metadata": {},
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    }
   ],
   "source": [
    "pd.DataFrame(df_fit_index.loc[(\"plain\", \"FULL\"), \"cov\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e62f32ba",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# plotting data and fits + simple confidence intervals\n",
    "#\n",
    "\n",
    "alpha = 0.05\n",
    "\n",
    "df_points, df_fit_plot, df_ci_plot = report_utils.build_plot_data(\n",
    "    df_data=df_data,\n",
    "    df_fit_index=df_fit_index,\n",
    "    alpha=alpha,\n",
    "    lg=lg,\n",
    "    n_grid=100,\n",
    "    verbose=verbose,\n",
    ")\n",
    "\n",
    "report_utils.plot_from_dataframes(\n",
    "    df_points=df_points,\n",
    "    df_fit_plot=df_fit_plot,\n",
    "    df_ci_plot=df_ci_plot,\n",
    "    xlabs=xlabs,\n",
    "    results_path=results_path,\n",
    "    filename=\"logit_fit_CI_simple_paper.pdf\",\n",
    "    verbose=verbose,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67fa2c6c",
   "metadata": {},
   "source": [
    "##  Model CI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e14807ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading existing file.\n"
     ]
    }
   ],
   "source": [
    "alpha = 0.05\n",
    "\n",
    "#\n",
    "# prepare boostrapped parameters\n",
    "#\n",
    "boots_pars_results = report_utils.load_or_build_bootstrap_pars(\n",
    "    df_data=df_data,\n",
    "    lg=lg,\n",
    "    results_path=results_path,\n",
    "    filename=\"boots_pars_results.pkl\",\n",
    "    n_boots=10000,\n",
    "    methods=(\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"),\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a4e59847",
   "metadata": {},
   "outputs": [],
   "source": [
    "#\n",
    "# computing set of confidence intervals\n",
    "#\n",
    "\n",
    "df_points, df_fit_plot, df_ci_plot = report_utils.build_plot_data_full_ci(\n",
    "    df_data=df_data,\n",
    "    df_fit_index=df_fit_index,\n",
    "    lg=lg,\n",
    "    alpha=alpha,\n",
    "    boots_pars_results=boots_pars_results,\n",
    "    n_grid=100,\n",
    "    analytic_methods=(\"normal\", \"delta\"),\n",
    "    bootstrap_methods=(\"nonparam_boots\", \"parametric_boots\"),\n",
    "    verbose=verbose,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "966abde9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# plotting data and fits + full set of confidence intervals\n",
    "#\n",
    "\n",
    "report_utils.plot_from_dataframes_full_ci(\n",
    "    df_points=df_points,\n",
    "    df_fit_plot=df_fit_plot,\n",
    "    df_ci_plot=df_ci_plot,\n",
    "    xlabs=xlabs,\n",
    "    results_path=results_path,\n",
    "    filename=\"logit_fit_CI_paper.pdf\",\n",
    "    verbose=verbose,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ce16edf",
   "metadata": {},
   "source": [
    "## Parameter CI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "91a199e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['scale', 'dataset', 'idx', 'beta', 'pars', 'SE', 'LCL', 'UCL'], dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pars.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "18dce684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "scale",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "dataset",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "idx",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "beta",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "pars",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "SE",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "LCL[Wald]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "UCL[Wald]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "LCL[normal]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "UCL[normal]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "LCL[nonparam_boots]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "UCL[nonparam_boots]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "LCL[nonparam_stratified_boots]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "UCL[nonparam_stratified_boots]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "LCL[parametric_boots]",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "UCL[parametric_boots]",
         "rawType": "object",
         "type": "unknown"
        }
       ],
       "ref": "268bd9c5-0faf-4540-a1cf-d7382273909e",
       "rows": [
        [
         "0",
         "log",
         "FULL",
         "[0, 1, 2, 3]",
         "[ -40.70879005016246  152.8957541088957  -186.3720953718045\n   75.72601374864055]",
         "[-4.0708790050162463e+01  9.8881180212307155e-09 -1.5072426521496851e+01\n  1.2365102268436589e+01]",
         "[9.159599275317685  2.0150709680349954 2.0882662684067475\n 1.2824176217123582]",
         "[-58.661274742604306   -3.9494665137527365 -19.16535319770393\n   9.851609916740856 ]",
         "[-22.75630535772062     3.9494665335289714 -10.979499845289773\n  14.878594620132322 ]",
         "[-58.61316731918215    -3.8808400331799224 -19.192312024313225\n   9.775775073702295 ]",
         "[-22.028053170632916   3.998070227056189 -10.947064517571048\n  14.863760974592564]",
         "[-316.3081518760638    -5.32848074722165  -69.52896791120655\n  -22.48809711006098]",
         "[-5.9324782918549630e+00  1.1658216769986270e-05  2.9063711928257387e+01\n  3.8957881621124379e+01]",
         "[-312.717360165757      -5.366003957064433  -67.93877625062687\n  -23.77491032446711 ]",
         "[-5.8982733858052292e+00  1.0297043690149792e-05  3.2248100052723643e+01\n  3.7936980479875977e+01]",
         "[-318.62670759218025    -6.842526840062616  -74.06006487323555\n  -34.97653097112118 ]",
         "[-6.428100715148776e+00  4.021314564962275e-06  4.575794682027604e+01\n  4.115164714566084e+01]"
        ],
        [
         "1",
         "log",
         "TRIM",
         "[0, 1, 2, 3]",
         "[ -318.62703678894434  1693.4607032804988  -3000.8955616376647\n  1772.5781205347264 ]",
         "[-3.1862703678894434e+02  2.8934834263112336e-05  7.2922797269469712e+01\n -4.1151679227944776e+01]",
         "[63.46039957473463   4.519648862436403  6.604813340092357\n  3.342192324822144]",
         "[-443.0071343999452     -8.858320058308514   59.97760099827899\n  -47.70225581400237 ]",
         "[-194.2469391779435     8.85837792797704   85.86799354066044\n  -34.60110264188718]",
         "[-442.41081252645785    -8.782431168288593  -85.99177966228561\n   34.43409174154418 ]",
         "[-189.7718653484255      8.841106056212327  -60.113390950052185\n   47.69156323123326 ]",
         "[-359.9136238829165    -13.576767970445893  -75.46073846848839\n  -37.33231047767629 ]",
         "[-1.1311272603309765e+01  2.7891718409460492e-05  6.6885481407047578e+01\n  4.2571710735392337e+01]",
         "[-358.2240414028309    -13.432052859675473  -74.99462843891462\n  -40.307046151652585]",
         "[-1.1224654531251606e+01  3.1065078180118393e-05  7.1736112989791778e+01\n  4.2212568996217271e+01]",
         "[-1.2694884586306490e+02 -5.2866702374450592e+00 -5.2807832270800361e+01\n -1.7397865765646692e-04]",
         "[-1.4066268776398871e+01 -1.2283069546636276e-08  1.0009744898916537e-04\n  1.0264211628283098e+01]"
        ],
        [
         "2",
         "plain",
         "FULL",
         "[0, 1, 2, 3]",
         "[-123.99338830495903   163.7953875610666    -71.44884831634778\n   10.388851606763014]",
         "[-1.2399338830495903e+02  9.7629231287929128e-08 -5.5827013909297571e+00\n  1.2798257207958692e+01]",
         "[18.879809687467446   1.3204842116930968  0.4735349458744081\n  0.8886929931280578]",
         "[-160.99713532736564     -2.5881013994430035   -6.5108128302647215\n   11.056450948114596 ]",
         "[-86.98964128255241    2.588101594701466  -4.654589951594794\n  14.540063467802787]",
         "[-160.77629724629566     -2.6199734604617455   -6.518761283664744\n   11.013441275649413 ]",
         "[-85.70521711097633    2.543150145750445  -4.638780823614419\n  14.519186298086852]",
         "[-652.8869980031434      -2.6792031414217297  -17.392457776931053\n  -29.05284005378915  ]",
         "[-1.1808035085460906e+01  5.4490253601384530e-06  1.5980120462948319e+01\n  3.1472366981287536e+01]",
         "[-625.9274200067402      -2.7741505628857963  -16.977075978898057\n  -30.208330974715764 ]",
         "[-1.1578921443846555e+01  5.2069074437700165e-06  1.6360774653265622e+01\n  3.0855975437955124e+01]",
         "[-519.9180059874121      -3.6011828528950582  -17.294441150975242\n  -22.61451779311677  ]",
         "[-1.5438422217226755e+01  3.5392426614192326e-06  1.1708205340612588e+01\n  2.9140189028162027e+01]"
        ],
        [
         "3",
         "plain",
         "TRIM",
         "[0, 1, 2, 3]",
         "[-450.07680368953027  727.8267253468076  -395.52042487547084\n   72.29569172838173]",
         "[-450.07680368953027     2.558569629984995   14.727086445904538\n  -26.856664848698657]",
         "[635.16037107256        2.3554155056590322  11.800401402061285\n  20.393870029968845 ]",
         "[-1694.9682553988446      -2.057959929733909    -8.401275305251543\n   -66.82791561282839 ]",
         "[794.8146480197837     7.175099189703898  37.85544819706061\n  13.114585915431071]",
         "[-1686.9454100525002      -7.187622226459851   -37.65269982452188\n   -14.486564944463485]",
         "[836.8444837414428      1.9815482388409698   9.058127456634692\n  66.5592435641381   ]",
         "[-732.5386511465168      -3.5498175887075427  -18.897812835884046\n  -32.32661943663517  ]",
         "[-2.0160190253202490e+01  1.7662708123775456e-05  1.7871892585797855e+01\n  3.4100663352884837e+01]",
         "[-702.0861321158845      -3.7385224086107587  -18.02151556292152\n  -33.38865782138493  ]",
         "[-2.0892321716807160e+01  1.6020411691197513e-05  1.8579280088255349e+01\n  3.2374259078157159e+01]",
         "[-543.4649015614586     -4.108704793862797  -17.9417267038114\n  -16.59889329669157 ]",
         "[-3.0306046066786930e+01  8.6998049426749290e-07  1.0773395483311747e+01\n  3.0691020691999764e+01]"
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       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>idx</th>\n",
       "      <th>beta</th>\n",
       "      <th>pars</th>\n",
       "      <th>SE</th>\n",
       "      <th>LCL[Wald]</th>\n",
       "      <th>UCL[Wald]</th>\n",
       "      <th>LCL[normal]</th>\n",
       "      <th>UCL[normal]</th>\n",
       "      <th>LCL[nonparam_boots]</th>\n",
       "      <th>UCL[nonparam_boots]</th>\n",
       "      <th>LCL[nonparam_stratified_boots]</th>\n",
       "      <th>UCL[nonparam_stratified_boots]</th>\n",
       "      <th>LCL[parametric_boots]</th>\n",
       "      <th>UCL[parametric_boots]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>log</td>\n",
       "      <td>FULL</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-40.70879005016246, 152.8957541088957, -186.3...</td>\n",
       "      <td>[-40.70879005016246, 9.888118021230716e-09, -1...</td>\n",
       "      <td>[9.159599275317685, 2.0150709680349954, 2.0882...</td>\n",
       "      <td>[-58.661274742604306, -3.9494665137527365, -19...</td>\n",
       "      <td>[-22.75630535772062, 3.9494665335289714, -10.9...</td>\n",
       "      <td>[-58.61316731918215, -3.8808400331799224, -19....</td>\n",
       "      <td>[-22.028053170632916, 3.998070227056189, -10.9...</td>\n",
       "      <td>[-316.3081518760638, -5.32848074722165, -69.52...</td>\n",
       "      <td>[-5.932478291854963, 1.165821676998627e-05, 29...</td>\n",
       "      <td>[-312.717360165757, -5.366003957064433, -67.93...</td>\n",
       "      <td>[-5.898273385805229, 1.0297043690149792e-05, 3...</td>\n",
       "      <td>[-318.62670759218025, -6.842526840062616, -74....</td>\n",
       "      <td>[-6.428100715148776, 4.021314564962275e-06, 45...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>log</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-318.62703678894434, 1693.4607032804988, -300...</td>\n",
       "      <td>[-318.62703678894434, 2.8934834263112336e-05, ...</td>\n",
       "      <td>[63.46039957473463, 4.519648862436403, 6.60481...</td>\n",
       "      <td>[-443.0071343999452, -8.858320058308514, 59.97...</td>\n",
       "      <td>[-194.2469391779435, 8.85837792797704, 85.8679...</td>\n",
       "      <td>[-442.41081252645785, -8.782431168288593, -85....</td>\n",
       "      <td>[-189.7718653484255, 8.841106056212327, -60.11...</td>\n",
       "      <td>[-359.9136238829165, -13.576767970445893, -75....</td>\n",
       "      <td>[-11.311272603309765, 2.7891718409460492e-05, ...</td>\n",
       "      <td>[-358.2240414028309, -13.432052859675473, -74....</td>\n",
       "      <td>[-11.224654531251606, 3.106507818011839e-05, 7...</td>\n",
       "      <td>[-126.9488458630649, -5.286670237445059, -52.8...</td>\n",
       "      <td>[-14.066268776398871, -1.2283069546636276e-08,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-123.99338830495903, 163.7953875610666, -71.4...</td>\n",
       "      <td>[-123.99338830495903, 9.762923128792913e-08, -...</td>\n",
       "      <td>[18.879809687467446, 1.3204842116930968, 0.473...</td>\n",
       "      <td>[-160.99713532736564, -2.5881013994430035, -6....</td>\n",
       "      <td>[-86.98964128255241, 2.588101594701466, -4.654...</td>\n",
       "      <td>[-160.77629724629566, -2.6199734604617455, -6....</td>\n",
       "      <td>[-85.70521711097633, 2.543150145750445, -4.638...</td>\n",
       "      <td>[-652.8869980031434, -2.6792031414217297, -17....</td>\n",
       "      <td>[-11.808035085460906, 5.449025360138453e-06, 1...</td>\n",
       "      <td>[-625.9274200067402, -2.7741505628857963, -16....</td>\n",
       "      <td>[-11.578921443846555, 5.2069074437700165e-06, ...</td>\n",
       "      <td>[-519.9180059874121, -3.6011828528950582, -17....</td>\n",
       "      <td>[-15.438422217226755, 3.5392426614192326e-06, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-450.07680368953027, 727.8267253468076, -395....</td>\n",
       "      <td>[-450.07680368953027, 2.558569629984995, 14.72...</td>\n",
       "      <td>[635.16037107256, 2.3554155056590322, 11.80040...</td>\n",
       "      <td>[-1694.9682553988446, -2.057959929733909, -8.4...</td>\n",
       "      <td>[794.8146480197837, 7.175099189703898, 37.8554...</td>\n",
       "      <td>[-1686.9454100525002, -7.187622226459851, -37....</td>\n",
       "      <td>[836.8444837414428, 1.9815482388409698, 9.0581...</td>\n",
       "      <td>[-732.5386511465168, -3.5498175887075427, -18....</td>\n",
       "      <td>[-20.16019025320249, 1.7662708123775456e-05, 1...</td>\n",
       "      <td>[-702.0861321158845, -3.7385224086107587, -18....</td>\n",
       "      <td>[-20.89232171680716, 1.6020411691197513e-05, 1...</td>\n",
       "      <td>[-543.4649015614586, -4.108704793862797, -17.9...</td>\n",
       "      <td>[-30.30604606678693, 8.699804942674929e-07, 10...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   scale dataset           idx  \\\n",
       "0    log    FULL  [0, 1, 2, 3]   \n",
       "1    log    TRIM  [0, 1, 2, 3]   \n",
       "2  plain    FULL  [0, 1, 2, 3]   \n",
       "3  plain    TRIM  [0, 1, 2, 3]   \n",
       "\n",
       "                                                beta  \\\n",
       "0  [-40.70879005016246, 152.8957541088957, -186.3...   \n",
       "1  [-318.62703678894434, 1693.4607032804988, -300...   \n",
       "2  [-123.99338830495903, 163.7953875610666, -71.4...   \n",
       "3  [-450.07680368953027, 727.8267253468076, -395....   \n",
       "\n",
       "                                                pars  \\\n",
       "0  [-40.70879005016246, 9.888118021230716e-09, -1...   \n",
       "1  [-318.62703678894434, 2.8934834263112336e-05, ...   \n",
       "2  [-123.99338830495903, 9.762923128792913e-08, -...   \n",
       "3  [-450.07680368953027, 2.558569629984995, 14.72...   \n",
       "\n",
       "                                                  SE  \\\n",
       "0  [9.159599275317685, 2.0150709680349954, 2.0882...   \n",
       "1  [63.46039957473463, 4.519648862436403, 6.60481...   \n",
       "2  [18.879809687467446, 1.3204842116930968, 0.473...   \n",
       "3  [635.16037107256, 2.3554155056590322, 11.80040...   \n",
       "\n",
       "                                           LCL[Wald]  \\\n",
       "0  [-58.661274742604306, -3.9494665137527365, -19...   \n",
       "1  [-443.0071343999452, -8.858320058308514, 59.97...   \n",
       "2  [-160.99713532736564, -2.5881013994430035, -6....   \n",
       "3  [-1694.9682553988446, -2.057959929733909, -8.4...   \n",
       "\n",
       "                                           UCL[Wald]  \\\n",
       "0  [-22.75630535772062, 3.9494665335289714, -10.9...   \n",
       "1  [-194.2469391779435, 8.85837792797704, 85.8679...   \n",
       "2  [-86.98964128255241, 2.588101594701466, -4.654...   \n",
       "3  [794.8146480197837, 7.175099189703898, 37.8554...   \n",
       "\n",
       "                                         LCL[normal]  \\\n",
       "0  [-58.61316731918215, -3.8808400331799224, -19....   \n",
       "1  [-442.41081252645785, -8.782431168288593, -85....   \n",
       "2  [-160.77629724629566, -2.6199734604617455, -6....   \n",
       "3  [-1686.9454100525002, -7.187622226459851, -37....   \n",
       "\n",
       "                                         UCL[normal]  \\\n",
       "0  [-22.028053170632916, 3.998070227056189, -10.9...   \n",
       "1  [-189.7718653484255, 8.841106056212327, -60.11...   \n",
       "2  [-85.70521711097633, 2.543150145750445, -4.638...   \n",
       "3  [836.8444837414428, 1.9815482388409698, 9.0581...   \n",
       "\n",
       "                                 LCL[nonparam_boots]  \\\n",
       "0  [-316.3081518760638, -5.32848074722165, -69.52...   \n",
       "1  [-359.9136238829165, -13.576767970445893, -75....   \n",
       "2  [-652.8869980031434, -2.6792031414217297, -17....   \n",
       "3  [-732.5386511465168, -3.5498175887075427, -18....   \n",
       "\n",
       "                                 UCL[nonparam_boots]  \\\n",
       "0  [-5.932478291854963, 1.165821676998627e-05, 29...   \n",
       "1  [-11.311272603309765, 2.7891718409460492e-05, ...   \n",
       "2  [-11.808035085460906, 5.449025360138453e-06, 1...   \n",
       "3  [-20.16019025320249, 1.7662708123775456e-05, 1...   \n",
       "\n",
       "                      LCL[nonparam_stratified_boots]  \\\n",
       "0  [-312.717360165757, -5.366003957064433, -67.93...   \n",
       "1  [-358.2240414028309, -13.432052859675473, -74....   \n",
       "2  [-625.9274200067402, -2.7741505628857963, -16....   \n",
       "3  [-702.0861321158845, -3.7385224086107587, -18....   \n",
       "\n",
       "                      UCL[nonparam_stratified_boots]  \\\n",
       "0  [-5.898273385805229, 1.0297043690149792e-05, 3...   \n",
       "1  [-11.224654531251606, 3.106507818011839e-05, 7...   \n",
       "2  [-11.578921443846555, 5.2069074437700165e-06, ...   \n",
       "3  [-20.89232171680716, 1.6020411691197513e-05, 1...   \n",
       "\n",
       "                               LCL[parametric_boots]  \\\n",
       "0  [-318.62670759218025, -6.842526840062616, -74....   \n",
       "1  [-126.9488458630649, -5.286670237445059, -52.8...   \n",
       "2  [-519.9180059874121, -3.6011828528950582, -17....   \n",
       "3  [-543.4649015614586, -4.108704793862797, -17.9...   \n",
       "\n",
       "                               UCL[parametric_boots]  \n",
       "0  [-6.428100715148776, 4.021314564962275e-06, 45...  \n",
       "1  [-14.066268776398871, -1.2283069546636276e-08,...  \n",
       "2  [-15.438422217226755, 3.5392426614192326e-06, ...  \n",
       "3  [-30.30604606678693, 8.699804942674929e-07, 10...  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt_res = dict()\n",
    "for (scale, dataset), _ in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    if verbose: print(f\"Data: {scale}, {dataset}\")\n",
    "\n",
    "    # plot quantiles of models at bootstapped parameters\n",
    "    for method in [\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"]:\n",
    "    \n",
    "        if verbose: print(f\"\\tmodel CI: scale:{scale}, dataset:{dataset}, method:{method}\")\n",
    "\n",
    "        # get boostrapped parameters\n",
    "        bpars = boots_pars_results[(scale, dataset, method)]\n",
    "    \n",
    "        # quantiles\n",
    "        quant = np.quantile(bpars, probs, axis = 0)\n",
    "        \n",
    "        if (scale, dataset) not in dt_res: dt_res[(scale, dataset)] = dict()\n",
    "        for lab, q in zip([\"LCL\", \"UCL\"], quant):\n",
    "            dt_res[(scale, dataset)][f\"{lab}[{method}]\"] = q\n",
    "\n",
    "\n",
    "# Joining results of bootstrapped pars quantiles with Wald CI of pars\n",
    "if verbose: print(f\"pars CI: scale:{scales}, dateset:{datasets}, method:Wald/delta\")\n",
    "\n",
    "method = \"Wald\"\n",
    "df_pars_CI_wald = df_pars.rename(columns={\"LCL\": f\"LCL[{method}]\", \"UCL\": f\"UCL[{method}]\"})\n",
    "df_pars_CI_wald = df_pars_CI_wald.set_index([\"scale\", \"dataset\"])\n",
    "\n",
    "df_res_CI_other = pd.DataFrame(dt_res).T\n",
    "df_res_CI_other.index.names = ['scale', 'dataset']\n",
    "\n",
    "df_pars_CI = df_pars_CI_wald.join(df_res_CI_other)\n",
    "df_pars_CI.reset_index(inplace=True)\n",
    "df_pars_CI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e76c0167",
   "metadata": {},
   "outputs": [
    {
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         "name": "dataset",
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       "      <td>836.844484</td>\n",
       "      <td>-732.538651</td>\n",
       "      <td>-20.16019</td>\n",
       "      <td>-702.086132</td>\n",
       "      <td>-20.892322</td>\n",
       "      <td>-543.464902</td>\n",
       "      <td>-30.306046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>1</td>\n",
       "      <td>727.826725</td>\n",
       "      <td>2.55857</td>\n",
       "      <td>2.355416</td>\n",
       "      <td>-2.05796</td>\n",
       "      <td>7.175099</td>\n",
       "      <td>-7.187622</td>\n",
       "      <td>1.981548</td>\n",
       "      <td>-3.549818</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-3.738522</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>-4.108705</td>\n",
       "      <td>0.000001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>2</td>\n",
       "      <td>-395.520425</td>\n",
       "      <td>14.727086</td>\n",
       "      <td>11.800401</td>\n",
       "      <td>-8.401275</td>\n",
       "      <td>37.855448</td>\n",
       "      <td>-37.6527</td>\n",
       "      <td>9.058127</td>\n",
       "      <td>-18.897813</td>\n",
       "      <td>17.871893</td>\n",
       "      <td>-18.021516</td>\n",
       "      <td>18.57928</td>\n",
       "      <td>-17.941727</td>\n",
       "      <td>10.773395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>3</td>\n",
       "      <td>72.295692</td>\n",
       "      <td>-26.856665</td>\n",
       "      <td>20.39387</td>\n",
       "      <td>-66.827916</td>\n",
       "      <td>13.114586</td>\n",
       "      <td>-14.486565</td>\n",
       "      <td>66.559244</td>\n",
       "      <td>-32.326619</td>\n",
       "      <td>34.100663</td>\n",
       "      <td>-33.388658</td>\n",
       "      <td>32.374259</td>\n",
       "      <td>-16.598893</td>\n",
       "      <td>30.691021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    scale dataset idx         beta        pars          SE    LCL[Wald]  \\\n",
       "0     log    FULL   0    -40.70879   -40.70879    9.159599   -58.661275   \n",
       "1     log    FULL   1   152.895754         0.0    2.015071    -3.949467   \n",
       "2     log    FULL   2  -186.372095  -15.072427    2.088266   -19.165353   \n",
       "3     log    FULL   3    75.726014   12.365102    1.282418      9.85161   \n",
       "4     log    TRIM   0  -318.627037 -318.627037     63.4604  -443.007134   \n",
       "5     log    TRIM   1  1693.460703    0.000029    4.519649     -8.85832   \n",
       "6     log    TRIM   2 -3000.895562   72.922797    6.604813    59.977601   \n",
       "7     log    TRIM   3  1772.578121  -41.151679    3.342192   -47.702256   \n",
       "8   plain    FULL   0  -123.993388 -123.993388    18.87981  -160.997135   \n",
       "9   plain    FULL   1   163.795388         0.0    1.320484    -2.588101   \n",
       "10  plain    FULL   2   -71.448848   -5.582701    0.473535    -6.510813   \n",
       "11  plain    FULL   3    10.388852   12.798257    0.888693    11.056451   \n",
       "12  plain    TRIM   0  -450.076804 -450.076804  635.160371 -1694.968255   \n",
       "13  plain    TRIM   1   727.826725     2.55857    2.355416     -2.05796   \n",
       "14  plain    TRIM   2  -395.520425   14.727086   11.800401    -8.401275   \n",
       "15  plain    TRIM   3    72.295692  -26.856665    20.39387   -66.827916   \n",
       "\n",
       "     UCL[Wald] LCL[normal] UCL[normal] LCL[nonparam_boots]  \\\n",
       "0   -22.756305  -58.613167  -22.028053         -316.308152   \n",
       "1     3.949467    -3.88084     3.99807           -5.328481   \n",
       "2     -10.9795  -19.192312  -10.947065          -69.528968   \n",
       "3    14.878595    9.775775   14.863761          -22.488097   \n",
       "4  -194.246939 -442.410813 -189.771865         -359.913624   \n",
       "5     8.858378   -8.782431    8.841106          -13.576768   \n",
       "6    85.867994   -85.99178  -60.113391          -75.460738   \n",
       "7   -34.601103   34.434092   47.691563           -37.33231   \n",
       "8   -86.989641 -160.776297  -85.705217         -652.886998   \n",
       "9     2.588102   -2.619973     2.54315           -2.679203   \n",
       "10    -4.65459   -6.518761   -4.638781          -17.392458   \n",
       "11   14.540063   11.013441   14.519186           -29.05284   \n",
       "12  794.814648 -1686.94541  836.844484         -732.538651   \n",
       "13    7.175099   -7.187622    1.981548           -3.549818   \n",
       "14   37.855448    -37.6527    9.058127          -18.897813   \n",
       "15   13.114586  -14.486565   66.559244          -32.326619   \n",
       "\n",
       "   UCL[nonparam_boots] LCL[nonparam_stratified_boots]  \\\n",
       "0            -5.932478                     -312.71736   \n",
       "1             0.000012                      -5.366004   \n",
       "2            29.063712                     -67.938776   \n",
       "3            38.957882                      -23.77491   \n",
       "4           -11.311273                    -358.224041   \n",
       "5             0.000028                     -13.432053   \n",
       "6            66.885481                     -74.994628   \n",
       "7            42.571711                     -40.307046   \n",
       "8           -11.808035                     -625.92742   \n",
       "9             0.000005                      -2.774151   \n",
       "10            15.98012                     -16.977076   \n",
       "11           31.472367                     -30.208331   \n",
       "12           -20.16019                    -702.086132   \n",
       "13            0.000018                      -3.738522   \n",
       "14           17.871893                     -18.021516   \n",
       "15           34.100663                     -33.388658   \n",
       "\n",
       "   UCL[nonparam_stratified_boots] LCL[parametric_boots] UCL[parametric_boots]  \n",
       "0                       -5.898273           -318.626708             -6.428101  \n",
       "1                         0.00001             -6.842527              0.000004  \n",
       "2                         32.2481            -74.060065             45.757947  \n",
       "3                        37.93698            -34.976531             41.151647  \n",
       "4                      -11.224655           -126.948846            -14.066269  \n",
       "5                        0.000031              -5.28667                  -0.0  \n",
       "6                       71.736113            -52.807832                0.0001  \n",
       "7                       42.212569             -0.000174             10.264212  \n",
       "8                      -11.578921           -519.918006            -15.438422  \n",
       "9                        0.000005             -3.601183              0.000004  \n",
       "10                      16.360775            -17.294441             11.708205  \n",
       "11                      30.855975            -22.614518             29.140189  \n",
       "12                     -20.892322           -543.464902            -30.306046  \n",
       "13                       0.000016             -4.108705              0.000001  \n",
       "14                       18.57928            -17.941727             10.773395  \n",
       "15                      32.374259            -16.598893             30.691021  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert to long format by exploding the pars, SE, LCL, UCL, beta columns\n",
    "cols_CI = df_pars_CI.columns[df_pars_CI.columns.str.startswith((\"LCL\", \"UCL\"))].tolist()\n",
    "cols = [\"idx\", \"beta\", \"pars\", \"SE\"] + cols_CI\n",
    "\n",
    "df_pars_CI_long = df_pars_CI.explode(cols, ignore_index=True)\n",
    "df_pars_CI_long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4084084d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{lllllllllllllllll}\n",
      "\\toprule\n",
      " & scale & dataset & idx & beta & pars & SE & LCL[Wald] & UCL[Wald] & LCL[normal] & UCL[normal] & LCL[nonparam_boots] & UCL[nonparam_boots] & LCL[nonparam_stratified_boots] & UCL[nonparam_stratified_boots] & LCL[parametric_boots] & UCL[parametric_boots] \\\\\n",
      "\\midrule\n",
      "0 & log & FULL & 0 & -40.708790 & -40.708790 & 9.159599 & -58.661275 & -22.756305 & -58.613167 & -22.028053 & -316.308152 & -5.932478 & -312.717360 & -5.898273 & -318.626708 & -6.428101 \\\\\n",
      "1 & log & FULL & 1 & 152.895754 & 0.000000 & 2.015071 & -3.949467 & 3.949467 & -3.880840 & 3.998070 & -5.328481 & 0.000012 & -5.366004 & 0.000010 & -6.842527 & 0.000004 \\\\\n",
      "2 & log & FULL & 2 & -186.372095 & -15.072427 & 2.088266 & -19.165353 & -10.979500 & -19.192312 & -10.947065 & -69.528968 & 29.063712 & -67.938776 & 32.248100 & -74.060065 & 45.757947 \\\\\n",
      "3 & log & FULL & 3 & 75.726014 & 12.365102 & 1.282418 & 9.851610 & 14.878595 & 9.775775 & 14.863761 & -22.488097 & 38.957882 & -23.774910 & 37.936980 & -34.976531 & 41.151647 \\\\\n",
      "4 & log & TRIM & 0 & -318.627037 & -318.627037 & 63.460400 & -443.007134 & -194.246939 & -442.410813 & -189.771865 & -359.913624 & -11.311273 & -358.224041 & -11.224655 & -126.948846 & -14.066269 \\\\\n",
      "5 & log & TRIM & 1 & 1693.460703 & 0.000029 & 4.519649 & -8.858320 & 8.858378 & -8.782431 & 8.841106 & -13.576768 & 0.000028 & -13.432053 & 0.000031 & -5.286670 & -0.000000 \\\\\n",
      "6 & log & TRIM & 2 & -3000.895562 & 72.922797 & 6.604813 & 59.977601 & 85.867994 & -85.991780 & -60.113391 & -75.460738 & 66.885481 & -74.994628 & 71.736113 & -52.807832 & 0.000100 \\\\\n",
      "7 & log & TRIM & 3 & 1772.578121 & -41.151679 & 3.342192 & -47.702256 & -34.601103 & 34.434092 & 47.691563 & -37.332310 & 42.571711 & -40.307046 & 42.212569 & -0.000174 & 10.264212 \\\\\n",
      "8 & plain & FULL & 0 & -123.993388 & -123.993388 & 18.879810 & -160.997135 & -86.989641 & -160.776297 & -85.705217 & -652.886998 & -11.808035 & -625.927420 & -11.578921 & -519.918006 & -15.438422 \\\\\n",
      "9 & plain & FULL & 1 & 163.795388 & 0.000000 & 1.320484 & -2.588101 & 2.588102 & -2.619973 & 2.543150 & -2.679203 & 0.000005 & -2.774151 & 0.000005 & -3.601183 & 0.000004 \\\\\n",
      "10 & plain & FULL & 2 & -71.448848 & -5.582701 & 0.473535 & -6.510813 & -4.654590 & -6.518761 & -4.638781 & -17.392458 & 15.980120 & -16.977076 & 16.360775 & -17.294441 & 11.708205 \\\\\n",
      "11 & plain & FULL & 3 & 10.388852 & 12.798257 & 0.888693 & 11.056451 & 14.540063 & 11.013441 & 14.519186 & -29.052840 & 31.472367 & -30.208331 & 30.855975 & -22.614518 & 29.140189 \\\\\n",
      "12 & plain & TRIM & 0 & -450.076804 & -450.076804 & 635.160371 & -1694.968255 & 794.814648 & -1686.945410 & 836.844484 & -732.538651 & -20.160190 & -702.086132 & -20.892322 & -543.464902 & -30.306046 \\\\\n",
      "13 & plain & TRIM & 1 & 727.826725 & 2.558570 & 2.355416 & -2.057960 & 7.175099 & -7.187622 & 1.981548 & -3.549818 & 0.000018 & -3.738522 & 0.000016 & -4.108705 & 0.000001 \\\\\n",
      "14 & plain & TRIM & 2 & -395.520425 & 14.727086 & 11.800401 & -8.401275 & 37.855448 & -37.652700 & 9.058127 & -18.897813 & 17.871893 & -18.021516 & 18.579280 & -17.941727 & 10.773395 \\\\\n",
      "15 & plain & TRIM & 3 & 72.295692 & -26.856665 & 20.393870 & -66.827916 & 13.114586 & -14.486565 & 66.559244 & -32.326619 & 34.100663 & -33.388658 & 32.374259 & -16.598893 & 30.691021 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# to copy and past in latex\n",
    "print(df_pars_CI_long.to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d60267f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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