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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": null,
   "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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   "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",
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       "      <th>0</th>\n",
       "      <td>log</td>\n",
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       "      <td>2.480642</td>\n",
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       "      <td>6.197519e-06</td>\n",
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       "   scale dataset                                               beta      cost  \\\n",
       "0    log    FULL  [-40.70879034687683, 152.89575613116688, -186....  4.605007   \n",
       "1    log    TRIM  [-318.62679619257887, 1693.4585607804645, -300...  1.700810   \n",
       "2  plain    FULL  [-123.99227455317255, 163.79376496388326, -71....  4.782070   \n",
       "3  plain    TRIM  [-450.0797519355293, 727.8325422435702, -395.5...  2.480642   \n",
       "\n",
       "                                            cost_jac    |cost_jac|      nllf  \\\n",
       "0  [1.0822825310919607e-09, -2.1618157433609214e-...  2.462070e-08  4.602970   \n",
       "1  [-6.113481512476024e-10, -6.815305867882836e-1...  6.200747e-10  1.592275   \n",
       "2  [8.474776780868646e-08, 4.523187796948251e-09,...  8.788655e-08  4.766501   \n",
       "3  [-1.5649990508181076e-07, 4.199673861965292e-0...  6.197519e-06  2.277125   \n",
       "\n",
       "                                            nllf_jac  |nllf_jac|  \\\n",
       "0  [8.141866297628475e-05, -2.1617981872073983e-0...    0.000090   \n",
       "1  [0.0006372529810370064, -6.815027433032641e-12...    0.000659   \n",
       "2  [0.0002480692968741538, 4.523172022802578e-09,...    0.000250   \n",
       "3  [0.0009000030039659768, -9.175102508966748e-07...    0.000902   \n",
       "\n",
       "                                                 cov  ...        AIC  \\\n",
       "0  [[83.8982596289885, -3.263361740814771e-07, 8....  ...  17.205940   \n",
       "1  [[4027.2223204728857, -5.0576305736723054e-09,...  ...  11.184551   \n",
       "2  [[356.4446122021905, 6.433155860184769e-08, 4....  ...  17.533001   \n",
       "3  [[401972.89153278666, 1095.0913791080047, -737...  ...  12.554250   \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  19.356756  0.982456  2.348789            1.0  57  4   53   \n",
       "2  25.774773  0.965517  9.164977            1.0  58  4   54   \n",
       "3  20.726456  0.964912  3.848696            1.0  57  4   53   \n",
       "\n",
       "                                                pars  success  \n",
       "0  [-40.70879034687683, -8.778076761554407e-08, -...     True  \n",
       "1  [-318.62679619257887, -1.392174250975319e-10, ...     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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       "      <td>8.446168e-07</td>\n",
       "      <td>1.022168e-05</td>\n",
       "      <td>-9.980653e-04</td>\n",
       "      <td>-0.054768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.729859e-04</td>\n",
       "      <td>2.657501e-03</td>\n",
       "      <td>-5.476828e-02</td>\n",
       "      <td>-1.203551</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              0             1             2         3\n",
       "0  4.396372e-12 -4.253486e-12  8.446168e-07  0.000273\n",
       "1 -4.253486e-12 -4.961542e-09  1.022168e-05  0.002658\n",
       "2  8.446168e-07  1.022168e-05 -9.980653e-04 -0.054768\n",
       "3  2.729859e-04  2.657501e-03 -5.476828e-02 -1.203551"
      ]
     },
     "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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        {
         "name": "chi2",
         "rawType": "float64",
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        {
         "name": "p-value(chi2)",
         "rawType": "float64",
         "type": "float"
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         "name": "success",
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       "<div>\n",
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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",
       "      <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>11.184551</td>\n",
       "      <td>19.356756</td>\n",
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       "      <td>57</td>\n",
       "      <td>4</td>\n",
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       "      <td>2.348789</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>8.788655e-08</td>\n",
       "      <td>54</td>\n",
       "      <td>4.782070</td>\n",
       "      <td>9.164977</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>12.554250</td>\n",
       "      <td>20.726456</td>\n",
       "      <td>0.964912</td>\n",
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       "      <td>True</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  2.462070e-08   54   \n",
       "1    log    TRIM  11.184551  19.356756  0.982456  57  4  6.200747e-10   53   \n",
       "2  plain    FULL  17.533001  25.774773  0.965517  58  4  8.788655e-08   54   \n",
       "3  plain    TRIM  12.554250  20.726456  0.964912  57  4  6.197519e-06   53   \n",
       "\n",
       "       cost      chi2  p-value(chi2)  success  \n",
       "0  4.605007  8.316716            1.0     True  \n",
       "1  1.700810  2.348789            1.0     True  \n",
       "2  4.782070  9.164977            1.0     True  \n",
       "3  2.480642  3.848696            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>log</td>\n",
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       "      <td>2</td>\n",
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       "      <td>0</td>\n",
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       "      <th>7</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>plain</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
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       "      <td>1</td>\n",
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       "      <td>2</td>\n",
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       "      <td>12.798194</td>\n",
       "      <td>0.888696</td>\n",
       "      <td>11.056382</td>\n",
       "      <td>14.540005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>0</td>\n",
       "      <td>-450.079752</td>\n",
       "      <td>-450.079752</td>\n",
       "      <td>634.013321</td>\n",
       "      <td>-1692.723027</td>\n",
       "      <td>792.563523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>1</td>\n",
       "      <td>727.832542</td>\n",
       "      <td>2.558592</td>\n",
       "      <td>2.353183</td>\n",
       "      <td>-2.053561</td>\n",
       "      <td>7.170745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>2</td>\n",
       "      <td>-395.524212</td>\n",
       "      <td>14.727169</td>\n",
       "      <td>11.778842</td>\n",
       "      <td>-8.358938</td>\n",
       "      <td>37.813276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>3</td>\n",
       "      <td>72.296505</td>\n",
       "      <td>-26.856771</td>\n",
       "      <td>20.356644</td>\n",
       "      <td>-66.755061</td>\n",
       "      <td>13.041519</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    -3.949467   \n",
       "2     log    FULL   2  -186.372099  -15.072427    2.088266   -19.165353   \n",
       "3     log    FULL   3    75.726016   12.365102    1.282418      9.85161   \n",
       "4     log    TRIM   0  -318.626796 -318.626796     63.4604  -443.006894   \n",
       "5     log    TRIM   1  1693.458561        -0.0    4.519643    -8.858337   \n",
       "6     log    TRIM   2 -3000.890199   72.922713    6.604803    59.977537   \n",
       "7     log    TRIM   3  1772.574028  -41.151653     3.34219   -47.702225   \n",
       "8   plain    FULL   0  -123.992275 -123.992275   18.879741  -160.995887   \n",
       "9   plain    FULL   1   163.793765         0.0    1.320492    -2.588116   \n",
       "10  plain    FULL   2    -71.44807   -5.582668    0.473536    -6.510783   \n",
       "11  plain    FULL   3    10.388728   12.798194    0.888696    11.056382   \n",
       "12  plain    TRIM   0  -450.079752 -450.079752  634.013321 -1692.723027   \n",
       "13  plain    TRIM   1   727.832542    2.558592    2.353183    -2.053561   \n",
       "14  plain    TRIM   2  -395.524212   14.727169   11.778842    -8.358938   \n",
       "15  plain    TRIM   3    72.296505  -26.856771   20.356644   -66.755061   \n",
       "\n",
       "           UCL  \n",
       "0   -22.756306  \n",
       "1     3.949466  \n",
       "2     -10.9795  \n",
       "3    14.878595  \n",
       "4  -194.246698  \n",
       "5     8.858337  \n",
       "6    85.867889  \n",
       "7   -34.601081  \n",
       "8   -86.988663  \n",
       "9     2.588116  \n",
       "10   -4.654554  \n",
       "11   14.540005  \n",
       "12  792.563523  \n",
       "13    7.170745  \n",
       "14   37.813276  \n",
       "15   13.041519  "
      ]
     },
     "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": {
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        {
         "name": "index",
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         "rawType": "float64",
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       "ref": "fc4b3124-ac67-4715-a7de-34cbf93b75a0",
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       "shape": {
        "columns": 4,
        "rows": 4
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      },
      "text/html": [
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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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     "metadata": {},
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   "source": [
    "pd.DataFrame(df_fit_index.loc[(\"plain\", \"FULL\"), \"cov\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e62f32ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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": null,
   "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": 18,
   "id": "91a199e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['scale', 'dataset', 'idx', 'beta', 'pars', 'SE', 'LCL', 'UCL'], dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pars.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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",
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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>[-40.70879034687683, 152.89575613116688, -186....</td>\n",
       "      <td>[-40.70879034687683, -8.778076761554407e-08, -...</td>\n",
       "      <td>[9.159599315962925, 2.0150709843591685, 2.0882...</td>\n",
       "      <td>[-58.661275118981884, -3.949466643416413, -19....</td>\n",
       "      <td>[-22.756305574771783, 3.949466467854877, -10.9...</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>[-318.62679619257887, 1693.4585607804645, -300...</td>\n",
       "      <td>[-318.62679619257887, -1.392174250975319e-10, ...</td>\n",
       "      <td>[63.4603996242766, 4.519642904652269, 6.604802...</td>\n",
       "      <td>[-443.0068939006802, -8.858337316239663, 59.97...</td>\n",
       "      <td>[-194.24669848447758, 8.858337315961228, 85.86...</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>[-123.99227455317255, 163.79376496388326, -71....</td>\n",
       "      <td>[-123.99227455317255, 7.887072836339043e-09, -...</td>\n",
       "      <td>[18.8797407874735, 1.320491518308064, 0.473536...</td>\n",
       "      <td>[-160.9958865340725, -2.5881158098873467, -6.5...</td>\n",
       "      <td>[-86.9886625722726, 2.588115825661492, -4.6545...</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>[-450.0797519355293, 727.8325422435702, -395.5...</td>\n",
       "      <td>[-450.0797519355293, 2.5585920564309834, 14.72...</td>\n",
       "      <td>[634.0133212581472, 2.353182683149134, 11.7788...</td>\n",
       "      <td>[-1692.7230273201212, -2.05356125158465, -8.35...</td>\n",
       "      <td>[792.5635234490622, 7.170745364446615, 37.8132...</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",
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       "</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  [-40.70879034687683, 152.89575613116688, -186....   \n",
       "1  [-318.62679619257887, 1693.4585607804645, -300...   \n",
       "2  [-123.99227455317255, 163.79376496388326, -71....   \n",
       "3  [-450.0797519355293, 727.8325422435702, -395.5...   \n",
       "\n",
       "                                                pars  \\\n",
       "0  [-40.70879034687683, -8.778076761554407e-08, -...   \n",
       "1  [-318.62679619257887, -1.392174250975319e-10, ...   \n",
       "2  [-123.99227455317255, 7.887072836339043e-09, -...   \n",
       "3  [-450.0797519355293, 2.5585920564309834, 14.72...   \n",
       "\n",
       "                                                  SE  \\\n",
       "0  [9.159599315962925, 2.0150709843591685, 2.0882...   \n",
       "1  [63.4603996242766, 4.519642904652269, 6.604802...   \n",
       "2  [18.8797407874735, 1.320491518308064, 0.473536...   \n",
       "3  [634.0133212581472, 2.353182683149134, 11.7788...   \n",
       "\n",
       "                                           LCL[Wald]  \\\n",
       "0  [-58.661275118981884, -3.949466643416413, -19....   \n",
       "1  [-443.0068939006802, -8.858337316239663, 59.97...   \n",
       "2  [-160.9958865340725, -2.5881158098873467, -6.5...   \n",
       "3  [-1692.7230273201212, -2.05356125158465, -8.35...   \n",
       "\n",
       "                                           UCL[Wald]  \\\n",
       "0  [-22.756305574771783, 3.949466467854877, -10.9...   \n",
       "1  [-194.24669848447758, 8.858337315961228, 85.86...   \n",
       "2  [-86.9886625722726, 2.588115825661492, -4.6545...   \n",
       "3  [792.5635234490622, 7.170745364446615, 37.8132...   \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": 19,
     "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": 20,
   "id": "e76c0167",
   "metadata": {},
   "outputs": [
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       "      <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>-71.44807</td>\n",
       "      <td>-5.582668</td>\n",
       "      <td>0.473536</td>\n",
       "      <td>-6.510783</td>\n",
       "      <td>-4.654554</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>10.388728</td>\n",
       "      <td>12.798194</td>\n",
       "      <td>0.888696</td>\n",
       "      <td>11.056382</td>\n",
       "      <td>14.540005</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>-450.079752</td>\n",
       "      <td>-450.079752</td>\n",
       "      <td>634.013321</td>\n",
       "      <td>-1692.723027</td>\n",
       "      <td>792.563523</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>727.832542</td>\n",
       "      <td>2.558592</td>\n",
       "      <td>2.353183</td>\n",
       "      <td>-2.053561</td>\n",
       "      <td>7.170745</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>-395.524212</td>\n",
       "      <td>14.727169</td>\n",
       "      <td>11.778842</td>\n",
       "      <td>-8.358938</td>\n",
       "      <td>37.813276</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>72.296505</td>\n",
       "      <td>-26.856771</td>\n",
       "      <td>20.356644</td>\n",
       "      <td>-66.755061</td>\n",
       "      <td>13.041519</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    -3.949467   \n",
       "2     log    FULL   2  -186.372099  -15.072427    2.088266   -19.165353   \n",
       "3     log    FULL   3    75.726016   12.365102    1.282418      9.85161   \n",
       "4     log    TRIM   0  -318.626796 -318.626796     63.4604  -443.006894   \n",
       "5     log    TRIM   1  1693.458561        -0.0    4.519643    -8.858337   \n",
       "6     log    TRIM   2 -3000.890199   72.922713    6.604803    59.977537   \n",
       "7     log    TRIM   3  1772.574028  -41.151653     3.34219   -47.702225   \n",
       "8   plain    FULL   0  -123.992275 -123.992275   18.879741  -160.995887   \n",
       "9   plain    FULL   1   163.793765         0.0    1.320492    -2.588116   \n",
       "10  plain    FULL   2    -71.44807   -5.582668    0.473536    -6.510783   \n",
       "11  plain    FULL   3    10.388728   12.798194    0.888696    11.056382   \n",
       "12  plain    TRIM   0  -450.079752 -450.079752  634.013321 -1692.723027   \n",
       "13  plain    TRIM   1   727.832542    2.558592    2.353183    -2.053561   \n",
       "14  plain    TRIM   2  -395.524212   14.727169   11.778842    -8.358938   \n",
       "15  plain    TRIM   3    72.296505  -26.856771   20.356644   -66.755061   \n",
       "\n",
       "     UCL[Wald]  LCL[normal] UCL[normal] LCL[nonparam_boots]  \\\n",
       "0   -22.756306   -58.613348  -22.028153         -315.395523   \n",
       "1     3.949466    -3.880834    3.998054           -5.381886   \n",
       "2     -10.9795   -19.192353   -10.94711          -69.144391   \n",
       "3    14.878595     9.775801   14.863784          -22.488381   \n",
       "4  -194.246698  -442.413436 -189.773534         -360.040401   \n",
       "5     8.858337    -8.840911     8.78246          -13.565687   \n",
       "6    85.867889    60.127522   85.994144          -75.400536   \n",
       "7   -34.601081   -47.681742  -34.474504          -37.407823   \n",
       "8   -86.988663  -160.781957  -85.707763         -653.454609   \n",
       "9     2.588116    -2.543103    2.619925           -2.680368   \n",
       "10   -4.654554     4.646405    6.519855          -17.417951   \n",
       "11   14.540005   -14.518195  -11.010005           -29.15253   \n",
       "12  792.563523 -1686.213022  836.191763         -732.615776   \n",
       "13    7.170745    -2.093824    7.176057           -3.568969   \n",
       "14   37.813276   -37.721566    9.144342          -18.828981   \n",
       "15   13.041519   -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": 20,
     "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": 21,
   "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 & -22.756306 & -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 & -3.949467 & 3.949466 & -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 & -19.165353 & -10.979500 & -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 & 9.851610 & 14.878595 & 9.775801 & 14.863784 & -22.488381 & 38.809259 & -23.774850 & 38.151073 & -34.976531 & 41.151648 \\\\\n",
      "4 & log & TRIM & 0 & -318.626796 & -318.626796 & 63.460400 & -443.006894 & -194.246698 & -442.413436 & -189.773534 & -360.040401 & -11.310259 & -357.909530 & -11.227028 & -126.948851 & -14.172704 \\\\\n",
      "5 & log & TRIM & 1 & 1693.458561 & -0.000000 & 4.519643 & -8.858337 & 8.858337 & -8.840911 & 8.782460 & -13.565687 & 0.000026 & -13.434971 & 0.000029 & -5.286670 & -0.000000 \\\\\n",
      "6 & log & TRIM & 2 & -3000.890199 & 72.922713 & 6.604803 & 59.977537 & 85.867889 & 60.127522 & 85.994144 & -75.400536 & 67.198662 & -74.963371 & 71.618666 & -52.807839 & 0.000100 \\\\\n",
      "7 & log & TRIM & 3 & 1772.574028 & -41.151653 & 3.342190 & -47.702225 & -34.601081 & -47.681742 & -34.474504 & -37.407823 & 42.530233 & -40.201960 & 42.196670 & -0.000174 & 10.264210 \\\\\n",
      "8 & plain & FULL & 0 & -123.992275 & -123.992275 & 18.879741 & -160.995887 & -86.988663 & -160.781957 & -85.707763 & -653.454609 & -11.724191 & -625.866107 & -11.576249 & -519.918169 & -13.741763 \\\\\n",
      "9 & plain & FULL & 1 & 163.793765 & 0.000000 & 1.320492 & -2.588116 & 2.588116 & -2.543103 & 2.619925 & -2.680368 & 0.000006 & -2.768089 & 0.000006 & -3.828434 & 0.000033 \\\\\n",
      "10 & plain & FULL & 2 & -71.448070 & -5.582668 & 0.473536 & -6.510783 & -4.654554 & 4.646405 & 6.519855 & -17.417951 & 16.103668 & -16.963200 & 16.398749 & -17.478053 & 11.155345 \\\\\n",
      "11 & plain & FULL & 3 & 10.388728 & 12.798194 & 0.888696 & 11.056382 & 14.540005 & -14.518195 & -11.010005 & -29.152530 & 31.540562 & -30.294508 & 30.856805 & -21.125974 & 29.302531 \\\\\n",
      "12 & plain & TRIM & 0 & -450.079752 & -450.079752 & 634.013321 & -1692.723027 & 792.563523 & -1686.213022 & 836.191763 & -732.615776 & -20.128549 & -701.705082 & -20.880607 & -543.465125 & -30.306070 \\\\\n",
      "13 & plain & TRIM & 1 & 727.832542 & 2.558592 & 2.353183 & -2.053561 & 7.170745 & -2.093824 & 7.176057 & -3.568969 & 0.000017 & -3.710998 & 0.000015 & -3.980517 & 0.000002 \\\\\n",
      "14 & plain & TRIM & 2 & -395.524212 & 14.727169 & 11.778842 & -8.358938 & 37.813276 & -37.721566 & 9.144342 & -18.828981 & 18.062389 & -17.929895 & 18.618402 & -17.797790 & 15.911320 \\\\\n",
      "15 & plain & TRIM & 3 & 72.296505 & -26.856771 & 20.356644 & -66.755061 & 13.041519 & -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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