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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": []
   },
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   "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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   "id": "4a292c31",
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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"
   ]
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  {
   "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",
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    "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",
       "      <th>nllf</th>\n",
       "      <th>nllf_jac</th>\n",
       "      <th>|nllf_jac|</th>\n",
       "      <th>cov</th>\n",
       "      <th>...</th>\n",
       "      <th>AIC</th>\n",
       "      <th>BIC</th>\n",
       "      <th>A</th>\n",
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       "      <th>p-value(chi2)</th>\n",
       "      <th>n</th>\n",
       "      <th>k</th>\n",
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       "      <th>success</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>log</td>\n",
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       "      <td>[-40.70879015956577, 152.89575579842304, -186....</td>\n",
       "      <td>4.605007</td>\n",
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       "      <td>4.451216e-08</td>\n",
       "      <td>4.602970</td>\n",
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       "      <td>log</td>\n",
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       "      <td>[-318.632256492452, 1693.4887843879605, -3000....</td>\n",
       "      <td>1.700810</td>\n",
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       "      <td>[-123.99304799942433, 163.7948922115298, -71.4...</td>\n",
       "      <td>4.782070</td>\n",
       "      <td>[-2.4608322930221808e-08, -2.2170028572141848e...</td>\n",
       "      <td>5.617907e-08</td>\n",
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       "      <th>3</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>[-450.0577744603056, 727.7954172022916, -395.5...</td>\n",
       "      <td>2.480642</td>\n",
       "      <td>[7.54793437187859e-08, -3.685339972145572e-10,...</td>\n",
       "      <td>7.567206e-08</td>\n",
       "      <td>2.277145</td>\n",
       "      <td>[0.00090019102826433, 5.116915157707749e-06, 2...</td>\n",
       "      <td>0.000902</td>\n",
       "      <td>[[402563.72550112, -1096.6626821476991, 7382.9...</td>\n",
       "      <td>...</td>\n",
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      "text/plain": [
       "   scale dataset                                               beta      cost  \\\n",
       "0    log    FULL  [-40.70879015956577, 152.89575579842304, -186....  4.605007   \n",
       "1    log    TRIM  [-318.632256492452, 1693.4887843879605, -3000....  1.700810   \n",
       "2  plain    FULL  [-123.99304799942433, 163.7948922115298, -71.4...  4.782070   \n",
       "3  plain    TRIM  [-450.0577744603056, 727.7954172022916, -395.5...  2.480642   \n",
       "\n",
       "                                            cost_jac    |cost_jac|      nllf  \\\n",
       "0  [4.11594355303926e-09, 3.2575767203048556e-08,...  4.451216e-08  4.602970   \n",
       "1  [4.0069551160339806e-07, -2.6237079842624702e-...  1.187211e-05  1.592272   \n",
       "2  [-2.4608322930221808e-08, -2.2170028572141848e...  5.617907e-08  4.766500   \n",
       "3  [7.54793437187859e-08, -3.685339972145572e-10,...  7.567206e-08  2.277145   \n",
       "\n",
       "                                            nllf_jac  |nllf_jac|  \\\n",
       "0  [8.142169626268458e-05, 3.2575502654515375e-08...    0.000090   \n",
       "1  [0.0006376652084965073, -2.623600796798452e-06...    0.000659   \n",
       "2  [0.0002479614876759184, -2.2169951256872793e-0...    0.000250   \n",
       "3  [0.00090019102826433, 5.116915157707749e-06, 2...    0.000902   \n",
       "\n",
       "                                                 cov  ...        AIC  \\\n",
       "0  [[83.89825929857723, 4.917464225961519e-07, -8...  ...  17.205940   \n",
       "1  [[4027.286187375852, -0.0019469667497890963, 1...  ...  11.184543   \n",
       "2  [[356.44684661026383, -3.153143496063326e-08, ...  ...  17.533001   \n",
       "3  [[402563.72550112, -1096.6626821476991, 7382.9...  ...  12.554290   \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  19.356748  0.982456  2.348783            1.0  57  4   53   \n",
       "2  25.774773  0.965517  9.164988            1.0  58  4   54   \n",
       "3  20.726495  0.964912  3.848750            1.0  57  4   53   \n",
       "\n",
       "                                                pars  success  \n",
       "0  [-40.70879015956577, 1.3227426659182152e-07, 1...     True  \n",
       "1  [-318.632256492452, -5.359373200923142e-05, -7...     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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       "      <th>cost_jac</th>\n",
       "      <td>4.115944e-09</td>\n",
       "      <td>3.257577e-08</td>\n",
       "      <td>2.728498e-08</td>\n",
       "      <td>1.259924e-08</td>\n",
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       "              0             1             2         3\n",
       "0 -2.913969e-11  1.574474e-11 -8.444574e-07 -0.000273\n",
       "1  1.574474e-11  5.472316e-10  1.022201e-05  0.002657\n",
       "2 -8.444574e-07  1.022201e-05 -9.977182e-04 -0.054745\n",
       "3 -2.728924e-04  2.656688e-03 -5.474499e-02 -1.203094"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": "BIC",
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         "name": "|cost_jac|",
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         "name": "dof",
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         "name": "cost",
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         "type": "float"
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        {
         "name": "chi2",
         "rawType": "float64",
         "type": "float"
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        {
         "name": "p-value(chi2)",
         "rawType": "float64",
         "type": "float"
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         "name": "success",
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       "\n",
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       "    }\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",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
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       "      <td>54</td>\n",
       "      <td>4.605007</td>\n",
       "      <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>11.184543</td>\n",
       "      <td>19.356748</td>\n",
       "      <td>0.982456</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>1.187211e-05</td>\n",
       "      <td>53</td>\n",
       "      <td>1.700810</td>\n",
       "      <td>2.348783</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>17.533001</td>\n",
       "      <td>25.774773</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
       "      <td>5.617907e-08</td>\n",
       "      <td>54</td>\n",
       "      <td>4.782070</td>\n",
       "      <td>9.164988</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>12.554290</td>\n",
       "      <td>20.726495</td>\n",
       "      <td>0.964912</td>\n",
       "      <td>57</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </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  4.451216e-08   54   \n",
       "1    log    TRIM  11.184543  19.356748  0.982456  57  4  1.187211e-05   53   \n",
       "2  plain    FULL  17.533001  25.774773  0.965517  58  4  5.617907e-08   54   \n",
       "3  plain    TRIM  12.554290  20.726495  0.964912  57  4  7.567206e-08   53   \n",
       "\n",
       "       cost      chi2  p-value(chi2)  success  \n",
       "0  4.605007  8.316716            1.0     True  \n",
       "1  1.700810  2.348783            1.0     True  \n",
       "2  4.782070  9.164988            1.0     True  \n",
       "3  2.480642  3.848750            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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       "      <th>SE</th>\n",
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       "      <td>2</td>\n",
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       "      <td>TRIM</td>\n",
       "      <td>0</td>\n",
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
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       "      <td>34.601486</td>\n",
       "      <td>47.702554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>0</td>\n",
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       "      <td>-160.996776</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>1</td>\n",
       "      <td>163.794892</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.320488</td>\n",
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       "      <td>2.588109</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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       "      <th>11</th>\n",
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       "      <td>3</td>\n",
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       "      <td>-12.798238</td>\n",
       "      <td>0.888694</td>\n",
       "      <td>-14.540047</td>\n",
       "      <td>-11.056429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>0</td>\n",
       "      <td>-450.057774</td>\n",
       "      <td>-450.057774</td>\n",
       "      <td>634.479098</td>\n",
       "      <td>-1693.613955</td>\n",
       "      <td>793.498406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>1</td>\n",
       "      <td>727.795417</td>\n",
       "      <td>-2.558642</td>\n",
       "      <td>2.354045</td>\n",
       "      <td>-7.172485</td>\n",
       "      <td>2.055202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>2</td>\n",
       "      <td>-395.50345</td>\n",
       "      <td>-14.726778</td>\n",
       "      <td>11.787903</td>\n",
       "      <td>-37.830643</td>\n",
       "      <td>8.377087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>3</td>\n",
       "      <td>72.292661</td>\n",
       "      <td>26.856075</td>\n",
       "      <td>20.372269</td>\n",
       "      <td>-13.072839</td>\n",
       "      <td>66.784989</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   152.895756         0.0    2.015071    -3.949466   \n",
       "2     log    FULL   2  -186.372099   15.072427    2.088266      10.9795   \n",
       "3     log    FULL   3    75.726016  -12.365102    1.282418   -14.878595   \n",
       "4     log    TRIM   0  -318.632256 -318.632256   63.460903   -443.01334   \n",
       "5     log    TRIM   1  1693.488784   -0.000054    4.519592    -8.858292   \n",
       "6     log    TRIM   2 -3000.945823  -72.923414    6.604769   -85.868523   \n",
       "7     log    TRIM   3  1772.608105    41.15202    3.342171    34.601486   \n",
       "8   plain    FULL   0  -123.993048 -123.993048     18.8798  -160.996776   \n",
       "9   plain    FULL   1   163.794892        -0.0    1.320488    -2.588109   \n",
       "10  plain    FULL   2   -71.448611    5.582691    0.473536     4.654578   \n",
       "11  plain    FULL   3    10.388814  -12.798238    0.888694   -14.540047   \n",
       "12  plain    TRIM   0  -450.057774 -450.057774  634.479098 -1693.613955   \n",
       "13  plain    TRIM   1   727.795417   -2.558642    2.354045    -7.172485   \n",
       "14  plain    TRIM   2   -395.50345  -14.726778   11.787903   -37.830643   \n",
       "15  plain    TRIM   3    72.292661   26.856075   20.372269   -13.072839   \n",
       "\n",
       "           UCL  \n",
       "0   -22.756305  \n",
       "1     3.949467  \n",
       "2    19.165354  \n",
       "3     -9.85161  \n",
       "4  -194.251173  \n",
       "5     8.858184  \n",
       "6   -59.978305  \n",
       "7    47.702554  \n",
       "8    -86.98932  \n",
       "9     2.588109  \n",
       "10    6.510804  \n",
       "11  -11.056429  \n",
       "12  793.498406  \n",
       "13    2.055202  \n",
       "14    8.377087  \n",
       "15   66.784989  "
      ]
     },
     "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": [
    {
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        {
         "name": "index",
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         "rawType": "float64",
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       "ref": "048870b0-05cb-4cf4-b5de-49d61487a275",
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       "shape": {
        "columns": 4,
        "rows": 4
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      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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     },
     "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": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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=verbose,\n",
    ")\n",
    "\n",
    "#\n",
    "# computing set of confidence intervals\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",
    ")\n",
    "\n",
    "#\n",
    "# plotting data and fits + full set of confidence intervals\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": 17,
   "id": "91a199e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['scale', 'dataset', 'idx', 'beta', 'pars', 'SE', 'LCL', 'UCL'], dtype='object')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pars.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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]",
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       "<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>[-40.70879015956577, 152.89575579842304, -186....</td>\n",
       "      <td>[-40.70879015956577, 1.3227426659182152e-07, 1...</td>\n",
       "      <td>[9.159599297926587, 2.0150710086174337, 2.0882...</td>\n",
       "      <td>[-58.66127489632025, -3.9494664709067053, 10.9...</td>\n",
       "      <td>[-22.756305422811298, 3.9494667354552377, 19.1...</td>\n",
       "      <td>[-58.6133480936447, -3.880833730936736, -19.19...</td>\n",
       "      <td>[-22.02815318054564, 3.9980539635915586, -10.9...</td>\n",
       "      <td>[-315.39552259921345, -5.381885628829679, -69....</td>\n",
       "      <td>[-5.9298151325213775, 1.023510961637488e-05, 2...</td>\n",
       "      <td>[-313.02229578473276, -5.412649524141675, -68....</td>\n",
       "      <td>[-5.899143493196906, 1.0761943985787224e-05, 3...</td>\n",
       "      <td>[-318.6267145553689, -6.84252684038771, -74.06...</td>\n",
       "      <td>[-6.423512695844689, 4.576050238215909e-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>[-318.632256492452, 1693.4887843879605, -3000....</td>\n",
       "      <td>[-318.632256492452, -5.359373200923142e-05, -7...</td>\n",
       "      <td>[63.460902825092646, 4.519592212437708, 6.6047...</td>\n",
       "      <td>[-443.01334045602977, -8.858291554917619, -85....</td>\n",
       "      <td>[-194.25117252887424, 8.8581843674536, -59.978...</td>\n",
       "      <td>[-442.413435690136, -8.840910632215914, 60.127...</td>\n",
       "      <td>[-189.77353434511247, 8.782460447027841, 85.99...</td>\n",
       "      <td>[-360.040401188123, -13.565687430905436, -75.4...</td>\n",
       "      <td>[-11.310259340488017, 2.605278257357958e-05, 6...</td>\n",
       "      <td>[-357.9095296999922, -13.434971285005846, -74....</td>\n",
       "      <td>[-11.227028264328574, 2.8735888981371008e-05, ...</td>\n",
       "      <td>[-126.94885082911394, -5.286670237445512, -52....</td>\n",
       "      <td>[-14.172703961864348, -5.066610622088065e-10, ...</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>[-123.99304799942433, 163.7948922115298, -71.4...</td>\n",
       "      <td>[-123.99304799942433, -3.865763452774722e-09, ...</td>\n",
       "      <td>[18.879799962135824, 1.3204881600801908, 0.473...</td>\n",
       "      <td>[-160.99677596053124, -2.588109239634499, 4.65...</td>\n",
       "      <td>[-86.98932003831744, 2.588109231902972, 6.5108...</td>\n",
       "      <td>[-160.78195713023533, -2.5431031196809517, 4.6...</td>\n",
       "      <td>[-85.70776274990214, 2.6199250325390695, 6.519...</td>\n",
       "      <td>[-653.4546087765481, -2.680367594105309, -17.4...</td>\n",
       "      <td>[-11.724191395755772, 6.312263957236393e-06, 1...</td>\n",
       "      <td>[-625.866106987995, -2.768088840481631, -16.96...</td>\n",
       "      <td>[-11.576249349159095, 5.712025933040164e-06, 1...</td>\n",
       "      <td>[-519.9181692980177, -3.828433856483589, -17.4...</td>\n",
       "      <td>[-13.741762947553546, 3.338353170707315e-05, 1...</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>[-450.0577744603056, 727.7954172022916, -395.5...</td>\n",
       "      <td>[-450.0577744603056, -2.558641845852482, -14.7...</td>\n",
       "      <td>[634.47909776534, 2.3540451169305783, 11.78790...</td>\n",
       "      <td>[-1693.6139550238402, -7.1724854930187965, -37...</td>\n",
       "      <td>[793.4984061032287, 2.0552018013138316, 8.3770...</td>\n",
       "      <td>[-1686.2130220922372, -2.0938244787955878, -37...</td>\n",
       "      <td>[836.1917630675644, 7.1760574695412815, 9.1443...</td>\n",
       "      <td>[-732.6157759520047, -3.5689686354337042, -18....</td>\n",
       "      <td>[-20.128549489680175, 1.6978531783484566e-05, ...</td>\n",
       "      <td>[-701.7050817340362, -3.710997763583124, -17.9...</td>\n",
       "      <td>[-20.880607074306813, 1.5241416263632105e-05, ...</td>\n",
       "      <td>[-543.4651247601868, -3.9805170362105287, -17....</td>\n",
       "      <td>[-30.306069506729404, 2.4348035458824826e-06, ...</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  [-40.70879015956577, 152.89575579842304, -186....   \n",
       "1  [-318.632256492452, 1693.4887843879605, -3000....   \n",
       "2  [-123.99304799942433, 163.7948922115298, -71.4...   \n",
       "3  [-450.0577744603056, 727.7954172022916, -395.5...   \n",
       "\n",
       "                                                pars  \\\n",
       "0  [-40.70879015956577, 1.3227426659182152e-07, 1...   \n",
       "1  [-318.632256492452, -5.359373200923142e-05, -7...   \n",
       "2  [-123.99304799942433, -3.865763452774722e-09, ...   \n",
       "3  [-450.0577744603056, -2.558641845852482, -14.7...   \n",
       "\n",
       "                                                  SE  \\\n",
       "0  [9.159599297926587, 2.0150710086174337, 2.0882...   \n",
       "1  [63.460902825092646, 4.519592212437708, 6.6047...   \n",
       "2  [18.879799962135824, 1.3204881600801908, 0.473...   \n",
       "3  [634.47909776534, 2.3540451169305783, 11.78790...   \n",
       "\n",
       "                                           LCL[Wald]  \\\n",
       "0  [-58.66127489632025, -3.9494664709067053, 10.9...   \n",
       "1  [-443.01334045602977, -8.858291554917619, -85....   \n",
       "2  [-160.99677596053124, -2.588109239634499, 4.65...   \n",
       "3  [-1693.6139550238402, -7.1724854930187965, -37...   \n",
       "\n",
       "                                           UCL[Wald]  \\\n",
       "0  [-22.756305422811298, 3.9494667354552377, 19.1...   \n",
       "1  [-194.25117252887424, 8.8581843674536, -59.978...   \n",
       "2  [-86.98932003831744, 2.588109231902972, 6.5108...   \n",
       "3  [793.4984061032287, 2.0552018013138316, 8.3770...   \n",
       "\n",
       "                                         LCL[normal]  \\\n",
       "0  [-58.6133480936447, -3.880833730936736, -19.19...   \n",
       "1  [-442.413435690136, -8.840910632215914, 60.127...   \n",
       "2  [-160.78195713023533, -2.5431031196809517, 4.6...   \n",
       "3  [-1686.2130220922372, -2.0938244787955878, -37...   \n",
       "\n",
       "                                         UCL[normal]  \\\n",
       "0  [-22.02815318054564, 3.9980539635915586, -10.9...   \n",
       "1  [-189.77353434511247, 8.782460447027841, 85.99...   \n",
       "2  [-85.70776274990214, 2.6199250325390695, 6.519...   \n",
       "3  [836.1917630675644, 7.1760574695412815, 9.1443...   \n",
       "\n",
       "                                 LCL[nonparam_boots]  \\\n",
       "0  [-315.39552259921345, -5.381885628829679, -69....   \n",
       "1  [-360.040401188123, -13.565687430905436, -75.4...   \n",
       "2  [-653.4546087765481, -2.680367594105309, -17.4...   \n",
       "3  [-732.6157759520047, -3.5689686354337042, -18....   \n",
       "\n",
       "                                 UCL[nonparam_boots]  \\\n",
       "0  [-5.9298151325213775, 1.023510961637488e-05, 2...   \n",
       "1  [-11.310259340488017, 2.605278257357958e-05, 6...   \n",
       "2  [-11.724191395755772, 6.312263957236393e-06, 1...   \n",
       "3  [-20.128549489680175, 1.6978531783484566e-05, ...   \n",
       "\n",
       "                      LCL[nonparam_stratified_boots]  \\\n",
       "0  [-313.02229578473276, -5.412649524141675, -68....   \n",
       "1  [-357.9095296999922, -13.434971285005846, -74....   \n",
       "2  [-625.866106987995, -2.768088840481631, -16.96...   \n",
       "3  [-701.7050817340362, -3.710997763583124, -17.9...   \n",
       "\n",
       "                      UCL[nonparam_stratified_boots]  \\\n",
       "0  [-5.899143493196906, 1.0761943985787224e-05, 3...   \n",
       "1  [-11.227028264328574, 2.8735888981371008e-05, ...   \n",
       "2  [-11.576249349159095, 5.712025933040164e-06, 1...   \n",
       "3  [-20.880607074306813, 1.5241416263632105e-05, ...   \n",
       "\n",
       "                               LCL[parametric_boots]  \\\n",
       "0  [-318.6267145553689, -6.84252684038771, -74.06...   \n",
       "1  [-126.94885082911394, -5.286670237445512, -52....   \n",
       "2  [-519.9181692980177, -3.828433856483589, -17.4...   \n",
       "3  [-543.4651247601868, -3.9805170362105287, -17....   \n",
       "\n",
       "                               UCL[parametric_boots]  \n",
       "0  [-6.423512695844689, 4.576050238215909e-06, 45...  \n",
       "1  [-14.172703961864348, -5.066610622088065e-10, ...  \n",
       "2  [-13.741762947553546, 3.338353170707315e-05, 1...  \n",
       "3  [-30.306069506729404, 2.4348035458824826e-06, ...  "
      ]
     },
     "execution_count": 18,
     "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": 19,
   "id": "e76c0167",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>idx</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>1</td>\n",
       "      <td>163.794892</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.320488</td>\n",
       "      <td>-2.588109</td>\n",
       "      <td>2.588109</td>\n",
       "      <td>-2.543103</td>\n",
       "      <td>2.619925</td>\n",
       "      <td>-2.680368</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>-2.768089</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>-3.828434</td>\n",
       "      <td>0.000033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>2</td>\n",
       "      <td>-71.448611</td>\n",
       "      <td>5.582691</td>\n",
       "      <td>0.473536</td>\n",
       "      <td>4.654578</td>\n",
       "      <td>6.510804</td>\n",
       "      <td>4.646405</td>\n",
       "      <td>6.519855</td>\n",
       "      <td>-17.417951</td>\n",
       "      <td>16.103668</td>\n",
       "      <td>-16.9632</td>\n",
       "      <td>16.398749</td>\n",
       "      <td>-17.478053</td>\n",
       "      <td>11.155345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>3</td>\n",
       "      <td>10.388814</td>\n",
       "      <td>-12.798238</td>\n",
       "      <td>0.888694</td>\n",
       "      <td>-14.540047</td>\n",
       "      <td>-11.056429</td>\n",
       "      <td>-14.518195</td>\n",
       "      <td>-11.010005</td>\n",
       "      <td>-29.15253</td>\n",
       "      <td>31.540562</td>\n",
       "      <td>-30.294508</td>\n",
       "      <td>30.856805</td>\n",
       "      <td>-21.125974</td>\n",
       "      <td>29.302531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>0</td>\n",
       "      <td>-450.057774</td>\n",
       "      <td>-450.057774</td>\n",
       "      <td>634.479098</td>\n",
       "      <td>-1693.613955</td>\n",
       "      <td>793.498406</td>\n",
       "      <td>-1686.213022</td>\n",
       "      <td>836.191763</td>\n",
       "      <td>-732.615776</td>\n",
       "      <td>-20.128549</td>\n",
       "      <td>-701.705082</td>\n",
       "      <td>-20.880607</td>\n",
       "      <td>-543.465125</td>\n",
       "      <td>-30.30607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>1</td>\n",
       "      <td>727.795417</td>\n",
       "      <td>-2.558642</td>\n",
       "      <td>2.354045</td>\n",
       "      <td>-7.172485</td>\n",
       "      <td>2.055202</td>\n",
       "      <td>-2.093824</td>\n",
       "      <td>7.176057</td>\n",
       "      <td>-3.568969</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>-3.710998</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-3.980517</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>2</td>\n",
       "      <td>-395.50345</td>\n",
       "      <td>-14.726778</td>\n",
       "      <td>11.787903</td>\n",
       "      <td>-37.830643</td>\n",
       "      <td>8.377087</td>\n",
       "      <td>-37.721566</td>\n",
       "      <td>9.144342</td>\n",
       "      <td>-18.828981</td>\n",
       "      <td>18.062389</td>\n",
       "      <td>-17.929895</td>\n",
       "      <td>18.618402</td>\n",
       "      <td>-17.79779</td>\n",
       "      <td>15.91132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>3</td>\n",
       "      <td>72.292661</td>\n",
       "      <td>26.856075</td>\n",
       "      <td>20.372269</td>\n",
       "      <td>-13.072839</td>\n",
       "      <td>66.784989</td>\n",
       "      <td>-14.747768</td>\n",
       "      <td>66.709438</td>\n",
       "      <td>-32.514578</td>\n",
       "      <td>34.031802</td>\n",
       "      <td>-33.502466</td>\n",
       "      <td>32.220793</td>\n",
       "      <td>-21.288354</td>\n",
       "      <td>30.691029</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   152.895756         0.0    2.015071    -3.949466   \n",
       "2     log    FULL   2  -186.372099   15.072427    2.088266      10.9795   \n",
       "3     log    FULL   3    75.726016  -12.365102    1.282418   -14.878595   \n",
       "4     log    TRIM   0  -318.632256 -318.632256   63.460903   -443.01334   \n",
       "5     log    TRIM   1  1693.488784   -0.000054    4.519592    -8.858292   \n",
       "6     log    TRIM   2 -3000.945823  -72.923414    6.604769   -85.868523   \n",
       "7     log    TRIM   3  1772.608105    41.15202    3.342171    34.601486   \n",
       "8   plain    FULL   0  -123.993048 -123.993048     18.8798  -160.996776   \n",
       "9   plain    FULL   1   163.794892        -0.0    1.320488    -2.588109   \n",
       "10  plain    FULL   2   -71.448611    5.582691    0.473536     4.654578   \n",
       "11  plain    FULL   3    10.388814  -12.798238    0.888694   -14.540047   \n",
       "12  plain    TRIM   0  -450.057774 -450.057774  634.479098 -1693.613955   \n",
       "13  plain    TRIM   1   727.795417   -2.558642    2.354045    -7.172485   \n",
       "14  plain    TRIM   2   -395.50345  -14.726778   11.787903   -37.830643   \n",
       "15  plain    TRIM   3    72.292661   26.856075   20.372269   -13.072839   \n",
       "\n",
       "     UCL[Wald]  LCL[normal] UCL[normal] LCL[nonparam_boots]  \\\n",
       "0   -22.756305   -58.613348  -22.028153         -315.395523   \n",
       "1     3.949467    -3.880834    3.998054           -5.381886   \n",
       "2    19.165354   -19.192353   -10.94711          -69.144391   \n",
       "3     -9.85161     9.775801   14.863784          -22.488381   \n",
       "4  -194.251173  -442.413436 -189.773534         -360.040401   \n",
       "5     8.858184    -8.840911     8.78246          -13.565687   \n",
       "6   -59.978305    60.127522   85.994144          -75.400536   \n",
       "7    47.702554   -47.681742  -34.474504          -37.407823   \n",
       "8    -86.98932  -160.781957  -85.707763         -653.454609   \n",
       "9     2.588109    -2.543103    2.619925           -2.680368   \n",
       "10    6.510804     4.646405    6.519855          -17.417951   \n",
       "11  -11.056429   -14.518195  -11.010005           -29.15253   \n",
       "12  793.498406 -1686.213022  836.191763         -732.615776   \n",
       "13    2.055202    -2.093824    7.176057           -3.568969   \n",
       "14    8.377087   -37.721566    9.144342          -18.828981   \n",
       "15   66.784989   -14.747768   66.709438          -32.514578   \n",
       "\n",
       "   UCL[nonparam_boots] LCL[nonparam_stratified_boots]  \\\n",
       "0            -5.929815                    -313.022296   \n",
       "1              0.00001                       -5.41265   \n",
       "2            29.011453                     -68.196663   \n",
       "3            38.809259                      -23.77485   \n",
       "4           -11.310259                     -357.90953   \n",
       "5             0.000026                     -13.434971   \n",
       "6            67.198662                     -74.963371   \n",
       "7            42.530233                      -40.20196   \n",
       "8           -11.724191                    -625.866107   \n",
       "9             0.000006                      -2.768089   \n",
       "10           16.103668                       -16.9632   \n",
       "11           31.540562                     -30.294508   \n",
       "12          -20.128549                    -701.705082   \n",
       "13            0.000017                      -3.710998   \n",
       "14           18.062389                     -17.929895   \n",
       "15           34.031802                     -33.502466   \n",
       "\n",
       "   UCL[nonparam_stratified_boots] LCL[parametric_boots] UCL[parametric_boots]  \n",
       "0                       -5.899143           -318.626715             -6.423513  \n",
       "1                        0.000011             -6.842527              0.000005  \n",
       "2                       31.543594            -74.060063             45.757947  \n",
       "3                       38.151073            -34.976531             41.151648  \n",
       "4                      -11.227028           -126.948851            -14.172704  \n",
       "5                        0.000029              -5.28667                  -0.0  \n",
       "6                       71.618666            -52.807839                0.0001  \n",
       "7                        42.19667             -0.000174              10.26421  \n",
       "8                      -11.576249           -519.918169            -13.741763  \n",
       "9                        0.000006             -3.828434              0.000033  \n",
       "10                      16.398749            -17.478053             11.155345  \n",
       "11                      30.856805            -21.125974             29.302531  \n",
       "12                     -20.880607           -543.465125             -30.30607  \n",
       "13                       0.000015             -3.980517              0.000002  \n",
       "14                      18.618402             -17.79779              15.91132  \n",
       "15                      32.220793            -21.288354             30.691029  "
      ]
     },
     "execution_count": 19,
     "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": 20,
   "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 & -58.613348 & -22.028153 & -315.395523 & -5.929815 & -313.022296 & -5.899143 & -318.626715 & -6.423513 \\\\\n",
      "1 & log & FULL & 1 & 152.895756 & 0.000000 & 2.015071 & -3.949466 & 3.949467 & -3.880834 & 3.998054 & -5.381886 & 0.000010 & -5.412650 & 0.000011 & -6.842527 & 0.000005 \\\\\n",
      "2 & log & FULL & 2 & -186.372099 & 15.072427 & 2.088266 & 10.979500 & 19.165354 & -19.192353 & -10.947110 & -69.144391 & 29.011453 & -68.196663 & 31.543594 & -74.060063 & 45.757947 \\\\\n",
      "3 & log & FULL & 3 & 75.726016 & -12.365102 & 1.282418 & -14.878595 & -9.851610 & 9.775801 & 14.863784 & -22.488381 & 38.809259 & -23.774850 & 38.151073 & -34.976531 & 41.151648 \\\\\n",
      "4 & log & TRIM & 0 & -318.632256 & -318.632256 & 63.460903 & -443.013340 & -194.251173 & -442.413436 & -189.773534 & -360.040401 & -11.310259 & -357.909530 & -11.227028 & -126.948851 & -14.172704 \\\\\n",
      "5 & log & TRIM & 1 & 1693.488784 & -0.000054 & 4.519592 & -8.858292 & 8.858184 & -8.840911 & 8.782460 & -13.565687 & 0.000026 & -13.434971 & 0.000029 & -5.286670 & -0.000000 \\\\\n",
      "6 & log & TRIM & 2 & -3000.945823 & -72.923414 & 6.604769 & -85.868523 & -59.978305 & 60.127522 & 85.994144 & -75.400536 & 67.198662 & -74.963371 & 71.618666 & -52.807839 & 0.000100 \\\\\n",
      "7 & log & TRIM & 3 & 1772.608105 & 41.152020 & 3.342171 & 34.601486 & 47.702554 & -47.681742 & -34.474504 & -37.407823 & 42.530233 & -40.201960 & 42.196670 & -0.000174 & 10.264210 \\\\\n",
      "8 & plain & FULL & 0 & -123.993048 & -123.993048 & 18.879800 & -160.996776 & -86.989320 & -160.781957 & -85.707763 & -653.454609 & -11.724191 & -625.866107 & -11.576249 & -519.918169 & -13.741763 \\\\\n",
      "9 & plain & FULL & 1 & 163.794892 & -0.000000 & 1.320488 & -2.588109 & 2.588109 & -2.543103 & 2.619925 & -2.680368 & 0.000006 & -2.768089 & 0.000006 & -3.828434 & 0.000033 \\\\\n",
      "10 & plain & FULL & 2 & -71.448611 & 5.582691 & 0.473536 & 4.654578 & 6.510804 & 4.646405 & 6.519855 & -17.417951 & 16.103668 & -16.963200 & 16.398749 & -17.478053 & 11.155345 \\\\\n",
      "11 & plain & FULL & 3 & 10.388814 & -12.798238 & 0.888694 & -14.540047 & -11.056429 & -14.518195 & -11.010005 & -29.152530 & 31.540562 & -30.294508 & 30.856805 & -21.125974 & 29.302531 \\\\\n",
      "12 & plain & TRIM & 0 & -450.057774 & -450.057774 & 634.479098 & -1693.613955 & 793.498406 & -1686.213022 & 836.191763 & -732.615776 & -20.128549 & -701.705082 & -20.880607 & -543.465125 & -30.306070 \\\\\n",
      "13 & plain & TRIM & 1 & 727.795417 & -2.558642 & 2.354045 & -7.172485 & 2.055202 & -2.093824 & 7.176057 & -3.568969 & 0.000017 & -3.710998 & 0.000015 & -3.980517 & 0.000002 \\\\\n",
      "14 & plain & TRIM & 2 & -395.503450 & -14.726778 & 11.787903 & -37.830643 & 8.377087 & -37.721566 & 9.144342 & -18.828981 & 18.062389 & -17.929895 & 18.618402 & -17.797790 & 15.911320 \\\\\n",
      "15 & plain & TRIM & 3 & 72.292661 & 26.856075 & 20.372269 & -13.072839 & 66.784989 & -14.747768 & 66.709438 & -32.514578 & 34.031802 & -33.502466 & 32.220793 & -21.288354 & 30.691029 \\\\\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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