| \n", " | id | \n", "age | \n", "coa | \n", "male | \n", "age_14 | \n", "alcuse | \n", "peer | \n", "cpeer | \n", "ccoa | \n", "peer_hi_lo | \n", "
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "1 | \n", "14 | \n", "1 | \n", "0 | \n", "0 | \n", "1.732051 | \n", "1.264911 | \n", "0.246911 | \n", "0.549 | \n", "1 | \n", "
| 1 | \n", "1 | \n", "15 | \n", "1 | \n", "0 | \n", "1 | \n", "2.000000 | \n", "1.264911 | \n", "0.246911 | \n", "0.549 | \n", "1 | \n", "
| 2 | \n", "1 | \n", "16 | \n", "1 | \n", "0 | \n", "2 | \n", "2.000000 | \n", "1.264911 | \n", "0.246911 | \n", "0.549 | \n", "1 | \n", "
| 3 | \n", "2 | \n", "14 | \n", "1 | \n", "1 | \n", "0 | \n", "0.000000 | \n", "0.894427 | \n", "-0.123573 | \n", "0.549 | \n", "0 | \n", "
| 4 | \n", "2 | \n", "15 | \n", "1 | \n", "1 | \n", "1 | \n", "0.000000 | \n", "0.894427 | \n", "-0.123573 | \n", "0.549 | \n", "0 | \n", "
| ... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
| 241 | \n", "81 | \n", "15 | \n", "0 | \n", "1 | \n", "1 | \n", "0.000000 | \n", "1.549193 | \n", "0.531193 | \n", "-0.451 | \n", "1 | \n", "
| 242 | \n", "81 | \n", "16 | \n", "0 | \n", "1 | \n", "2 | \n", "0.000000 | \n", "1.549193 | \n", "0.531193 | \n", "-0.451 | \n", "1 | \n", "
| 243 | \n", "82 | \n", "14 | \n", "0 | \n", "0 | \n", "0 | \n", "0.000000 | \n", "2.190890 | \n", "1.172890 | \n", "-0.451 | \n", "1 | \n", "
| 244 | \n", "82 | \n", "15 | \n", "0 | \n", "0 | \n", "1 | \n", "1.414214 | \n", "2.190890 | \n", "1.172890 | \n", "-0.451 | \n", "1 | \n", "
| 245 | \n", "82 | \n", "16 | \n", "0 | \n", "0 | \n", "2 | \n", "1.000000 | \n", "2.190890 | \n", "1.172890 | \n", "-0.451 | \n", "1 | \n", "
246 rows × 10 columns
\n", "| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| subject_intercept_sigma | \n", "0.766 | \n", "0.083 | \n", "0.611 | \n", "0.917 | \n", "0.001 | \n", "0.001 | \n", "2984.0 | \n", "2542.0 | \n", "1.0 | \n", "
| global_intercept | \n", "0.914 | \n", "0.099 | \n", "0.706 | \n", "1.082 | \n", "0.003 | \n", "0.002 | \n", "1262.0 | \n", "1739.0 | \n", "1.0 | \n", "
| global_sigma | \n", "0.757 | \n", "0.043 | \n", "0.674 | \n", "0.835 | \n", "0.001 | \n", "0.001 | \n", "3331.0 | \n", "2989.0 | \n", "1.0 | \n", "
| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "0.645 | \n", "0.103 | \n", "0.459 | \n", "0.847 | \n", "0.002 | \n", "0.001 | \n", "2535.0 | \n", "2913.0 | \n", "1.00 | \n", "
| global_sigma | \n", "0.614 | \n", "0.045 | \n", "0.528 | \n", "0.698 | \n", "0.001 | \n", "0.001 | \n", "1090.0 | \n", "1886.0 | \n", "1.00 | \n", "
| global_age_beta | \n", "0.270 | \n", "0.060 | \n", "0.151 | \n", "0.379 | \n", "0.001 | \n", "0.001 | \n", "4550.0 | \n", "3223.0 | \n", "1.00 | \n", "
| subject_intercept_sigma | \n", "0.754 | \n", "0.083 | \n", "0.608 | \n", "0.921 | \n", "0.002 | \n", "0.001 | \n", "2985.0 | \n", "3362.0 | \n", "1.00 | \n", "
| subject_age_sigma | \n", "0.340 | \n", "0.072 | \n", "0.207 | \n", "0.476 | \n", "0.003 | \n", "0.002 | \n", "605.0 | \n", "363.0 | \n", "1.01 | \n", "
| \n", " | median | \n", "mad | \n", "eti_3% | \n", "eti_97% | \n", "mcse_median | \n", "ess_median | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "0.325 | \n", "0.086 | \n", "0.092 | \n", "0.560 | \n", "0.003 | \n", "2307.636 | \n", "2442.0 | \n", "1.00 | \n", "
| global_sigma | \n", "0.610 | \n", "0.031 | \n", "0.532 | \n", "0.705 | \n", "0.001 | \n", "1685.385 | \n", "1561.0 | \n", "1.00 | \n", "
| global_age_beta | \n", "0.286 | \n", "0.056 | \n", "0.132 | \n", "0.436 | \n", "0.002 | \n", "3451.129 | \n", "3000.0 | \n", "1.00 | \n", "
| global_coa_age_beta | \n", "-0.034 | \n", "0.083 | \n", "-0.266 | \n", "0.188 | \n", "0.003 | \n", "3179.173 | \n", "3140.0 | \n", "1.00 | \n", "
| subject_intercept_sigma | \n", "0.667 | \n", "0.054 | \n", "0.527 | \n", "0.833 | \n", "0.002 | \n", "2309.251 | \n", "2560.0 | \n", "1.00 | \n", "
| subject_age_sigma | \n", "0.351 | \n", "0.046 | \n", "0.188 | \n", "0.475 | \n", "0.003 | \n", "898.331 | \n", "306.0 | \n", "1.01 | \n", "
| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "0.393 | \n", "0.109 | \n", "0.191 | \n", "0.606 | \n", "0.002 | \n", "0.002 | \n", "2119.0 | \n", "2645.0 | \n", "1.0 | \n", "
| global_sigma | \n", "0.595 | \n", "0.041 | \n", "0.518 | \n", "0.669 | \n", "0.001 | \n", "0.001 | \n", "1785.0 | \n", "2501.0 | \n", "1.0 | \n", "
| global_age_beta | \n", "0.273 | \n", "0.085 | \n", "0.118 | \n", "0.436 | \n", "0.002 | \n", "0.001 | \n", "1791.0 | \n", "2400.0 | \n", "1.0 | \n", "
| global_coa_age_beta | \n", "-0.010 | \n", "0.127 | \n", "-0.244 | \n", "0.233 | \n", "0.003 | \n", "0.002 | \n", "1961.0 | \n", "2395.0 | \n", "1.0 | \n", "
| global_peer_beta | \n", "0.683 | \n", "0.117 | \n", "0.448 | \n", "0.888 | \n", "0.002 | \n", "0.002 | \n", "2747.0 | \n", "2759.0 | \n", "1.0 | \n", "
| global_peer_age_beta | \n", "-0.144 | \n", "0.087 | \n", "-0.313 | \n", "0.015 | \n", "0.002 | \n", "0.001 | \n", "2953.0 | \n", "2916.0 | \n", "1.0 | \n", "
| subject_intercept_sigma | \n", "0.500 | \n", "0.077 | \n", "0.347 | \n", "0.635 | \n", "0.002 | \n", "0.002 | \n", "1271.0 | \n", "1729.0 | \n", "1.0 | \n", "
| subject_age_sigma | \n", "0.382 | \n", "0.059 | \n", "0.265 | \n", "0.493 | \n", "0.002 | \n", "0.001 | \n", "1056.0 | \n", "1169.0 | \n", "1.0 | \n", "
| \n", " | rank | \n", "elpd_waic | \n", "p_waic | \n", "elpd_diff | \n", "weight | \n", "se | \n", "dse | \n", "warning | \n", "scale | \n", "
|---|---|---|---|---|---|---|---|---|---|
| COA_Peer_Model | \n", "0 | \n", "-267.816066 | \n", "75.161493 | \n", "0.000000 | \n", "1.000000e+00 | \n", "11.111592 | \n", "0.000000 | \n", "True | \n", "log | \n", "
| COA growth Model | \n", "1 | \n", "-276.959608 | \n", "78.402055 | \n", "9.143542 | \n", "0.000000e+00 | \n", "11.707554 | \n", "3.772368 | \n", "True | \n", "log | \n", "
| Unconditional Growth | \n", "2 | \n", "-278.403556 | \n", "79.522380 | \n", "10.587490 | \n", "0.000000e+00 | \n", "12.005487 | \n", "4.426693 | \n", "True | \n", "log | \n", "
| Grand Mean | \n", "3 | \n", "-312.121615 | \n", "54.929336 | \n", "44.305549 | \n", "1.172396e-12 | \n", "12.113236 | \n", "8.341008 | \n", "True | \n", "log | \n", "
<xarray.Dataset>\n",
"Dimensions: (chain: 4, draw: 1000, id__factor_dim: 82, alcuse_obs: 246)\n",
"Coordinates:\n",
" * chain (chain) int64 0 1 2 3\n",
" * draw (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999\n",
" * id__factor_dim (id__factor_dim) <U2 '1' '2' '3' '4' ... '80' '81' '82'\n",
" * alcuse_obs (alcuse_obs) int64 0 1 2 3 4 5 ... 240 241 242 243 244 245\n",
"Data variables:\n",
" Intercept (chain, draw) float64 0.3281 0.3281 0.4448 ... 0.3385 0.448\n",
" age_14 (chain, draw) float64 0.2889 0.2889 ... 0.3575 0.2914\n",
" coa (chain, draw) float64 0.4714 0.4714 ... 0.5433 0.6069\n",
" cpeer (chain, draw) float64 0.7958 0.7958 ... 0.5829 0.5305\n",
" age_14:coa (chain, draw) float64 0.0462 0.0462 ... -0.173 -0.1047\n",
" age_14:cpeer (chain, draw) float64 -0.1332 -0.1332 ... -0.1504 -0.1905\n",
" alcuse_sigma (chain, draw) float64 0.5498 0.5498 ... 0.6206 0.5865\n",
" 1|id_sigma (chain, draw) float64 0.551 0.551 0.6323 ... 0.5377 0.5216\n",
" age_14|id_sigma (chain, draw) float64 0.3989 0.3989 ... 0.3174 0.2742\n",
" 1|id (chain, draw, id__factor_dim) float64 0.7651 ... -0.2004\n",
" age_14|id (chain, draw, id__factor_dim) float64 -0.1316 ... 0.01945\n",
" alcuse_mean (chain, draw, alcuse_obs) float64 1.761 1.932 ... 1.045\n",
"Attributes:\n",
" created_at: 2023-04-10T19:09:13.292641\n",
" arviz_version: 0.15.1\n",
" inference_library: pymc\n",
" inference_library_version: 5.0.1\n",
" sampling_time: 6.2422168254852295\n",
" tuning_steps: 1000\n",
" modeling_interface: bambi\n",
" modeling_interface_version: 0.10.0<xarray.Dataset>\n",
"Dimensions: (chain: 4, draw: 1000, alcuse_obs: 246)\n",
"Coordinates:\n",
" * chain (chain) int64 0 1 2 3\n",
" * draw (draw) int64 0 1 2 3 4 5 6 7 ... 992 993 994 995 996 997 998 999\n",
" * alcuse_obs (alcuse_obs) int64 0 1 2 3 4 5 6 ... 239 240 241 242 243 244 245\n",
"Data variables:\n",
" alcuse (chain, draw, alcuse_obs) float64 1.961 2.479 ... 0.6985 0.9921\n",
"Attributes:\n",
" modeling_interface: bambi\n",
" modeling_interface_version: 0.10.0<xarray.Dataset>\n",
"Dimensions: (chain: 4, draw: 1000)\n",
"Coordinates:\n",
" * chain (chain) int64 0 1 2 3\n",
" * draw (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999\n",
"Data variables: (12/17)\n",
" largest_eigval (chain, draw) float64 nan nan nan nan ... nan nan nan\n",
" acceptance_rate (chain, draw) float64 0.7952 0.1654 ... 0.9641 0.7875\n",
" perf_counter_start (chain, draw) float64 96.83 96.83 ... 99.22 99.22\n",
" reached_max_treedepth (chain, draw) bool False False False ... False False\n",
" process_time_diff (chain, draw) float64 0.001995 0.001986 ... 0.001872\n",
" diverging (chain, draw) bool False False False ... False False\n",
" ... ...\n",
" step_size_bar (chain, draw) float64 0.2827 0.2827 ... 0.2725 0.2725\n",
" tree_depth (chain, draw) int64 4 4 4 4 4 5 4 4 ... 4 4 5 4 4 4 4\n",
" index_in_trajectory (chain, draw) int64 -14 0 6 6 -12 8 ... 5 -7 -8 8 4\n",
" energy_error (chain, draw) float64 0.4576 0.0 ... -0.4409 0.09782\n",
" step_size (chain, draw) float64 0.3271 0.3271 ... 0.2954 0.2954\n",
" lp (chain, draw) float64 -465.3 -465.3 ... -499.7 -493.7\n",
"Attributes:\n",
" created_at: 2023-04-10T19:09:13.301486\n",
" arviz_version: 0.15.1\n",
" inference_library: pymc\n",
" inference_library_version: 5.0.1\n",
" sampling_time: 6.2422168254852295\n",
" tuning_steps: 1000\n",
" modeling_interface: bambi\n",
" modeling_interface_version: 0.10.0<xarray.Dataset>\n",
"Dimensions: (alcuse_dim_0: 246)\n",
"Coordinates:\n",
" * alcuse_dim_0 (alcuse_dim_0) int64 0 1 2 3 4 5 6 ... 240 241 242 243 244 245\n",
"Data variables:\n",
" alcuse (alcuse_dim_0) float64 1.732 2.0 2.0 0.0 ... 0.0 0.0 1.414 1.0\n",
"Attributes:\n",
" created_at: 2023-04-10T19:09:13.304005\n",
" arviz_version: 0.15.1\n",
" inference_library: pymc\n",
" inference_library_version: 5.0.1\n",
" modeling_interface: bambi\n",
" modeling_interface_version: 0.10.0| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| Intercept | \n", "0.391 | \n", "0.113 | \n", "0.185 | \n", "0.607 | \n", "0.002 | \n", "0.001 | \n", "3094.0 | \n", "2991.0 | \n", "1.0 | \n", "
| age_14 | \n", "0.276 | \n", "0.086 | \n", "0.118 | \n", "0.444 | \n", "0.002 | \n", "0.001 | \n", "2490.0 | \n", "2892.0 | \n", "1.0 | \n", "
| coa | \n", "0.578 | \n", "0.166 | \n", "0.264 | \n", "0.890 | \n", "0.003 | \n", "0.002 | \n", "2639.0 | \n", "2777.0 | \n", "1.0 | \n", "
| cpeer | \n", "0.695 | \n", "0.115 | \n", "0.473 | \n", "0.906 | \n", "0.002 | \n", "0.001 | \n", "3057.0 | \n", "2885.0 | \n", "1.0 | \n", "
| age_14:coa | \n", "-0.015 | \n", "0.127 | \n", "-0.247 | \n", "0.227 | \n", "0.003 | \n", "0.002 | \n", "2437.0 | \n", "2548.0 | \n", "1.0 | \n", "
| age_14:cpeer | \n", "-0.149 | \n", "0.088 | \n", "-0.315 | \n", "0.015 | \n", "0.002 | \n", "0.001 | \n", "2889.0 | \n", "2870.0 | \n", "1.0 | \n", "
| 1|id_sigma | \n", "0.504 | \n", "0.077 | \n", "0.356 | \n", "0.646 | \n", "0.002 | \n", "0.002 | \n", "1233.0 | \n", "1907.0 | \n", "1.0 | \n", "
| age_14|id_sigma | \n", "0.378 | \n", "0.060 | \n", "0.263 | \n", "0.487 | \n", "0.002 | \n", "0.001 | \n", "1262.0 | \n", "1454.0 | \n", "1.0 | \n", "
| alcuse_sigma | \n", "0.595 | \n", "0.043 | \n", "0.512 | \n", "0.671 | \n", "0.001 | \n", "0.001 | \n", "1089.0 | \n", "2173.0 | \n", "1.0 | \n", "
| \n", " | ID | \n", "EXTERNAL | \n", "FEMALE | \n", "TIME | \n", "GRADE | \n", "
|---|---|---|---|---|---|
| 0 | \n", "1 | \n", "50 | \n", "0 | \n", "0 | \n", "1 | \n", "
| 1 | \n", "1 | \n", "57 | \n", "0 | \n", "1 | \n", "2 | \n", "
| 2 | \n", "1 | \n", "51 | \n", "0 | \n", "2 | \n", "3 | \n", "
| 3 | \n", "1 | \n", "48 | \n", "0 | \n", "3 | \n", "4 | \n", "
| 4 | \n", "1 | \n", "43 | \n", "0 | \n", "4 | \n", "5 | \n", "
| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "7.346 | \n", "0.741 | \n", "5.928 | \n", "8.717 | \n", "0.018 | \n", "0.013 | \n", "1739.0 | \n", "2682.0 | \n", "1.0 | \n", "
| global_sigma | \n", "6.811 | \n", "0.380 | \n", "6.098 | \n", "7.519 | \n", "0.005 | \n", "0.004 | \n", "4763.0 | \n", "3060.0 | \n", "1.0 | \n", "
| subject_intercept_sigma | \n", "6.793 | \n", "0.892 | \n", "5.146 | \n", "8.446 | \n", "0.016 | \n", "0.011 | \n", "3185.0 | \n", "2691.0 | \n", "1.0 | \n", "
| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "5.380 | \n", "0.835 | \n", "3.706 | \n", "6.823 | \n", "0.014 | \n", "0.010 | \n", "3590.0 | \n", "3021.0 | \n", "1.00 | \n", "
| global_sigma | \n", "6.889 | \n", "0.317 | \n", "6.287 | \n", "7.474 | \n", "0.005 | \n", "0.004 | \n", "3328.0 | \n", "2253.0 | \n", "1.00 | \n", "
| global_beta_grade | \n", "-0.226 | \n", "0.260 | \n", "-0.709 | \n", "0.250 | \n", "0.004 | \n", "0.004 | \n", "3487.0 | \n", "2895.0 | \n", "1.00 | \n", "
| subject_intercept_sigma | \n", "5.223 | \n", "0.973 | \n", "3.269 | \n", "6.989 | \n", "0.043 | \n", "0.030 | \n", "570.0 | \n", "516.0 | \n", "1.00 | \n", "
| subject_beta_grade_sigma | \n", "0.786 | \n", "0.339 | \n", "0.190 | \n", "1.415 | \n", "0.025 | \n", "0.018 | \n", "169.0 | \n", "107.0 | \n", "1.01 | \n", "
| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "6.496 | \n", "1.157 | \n", "4.394 | \n", "8.734 | \n", "0.019 | \n", "0.014 | \n", "3541.0 | \n", "2895.0 | \n", "1.00 | \n", "
| global_sigma | \n", "7.013 | \n", "0.388 | \n", "6.301 | \n", "7.756 | \n", "0.007 | \n", "0.005 | \n", "2882.0 | \n", "2847.0 | \n", "1.00 | \n", "
| global_beta_grade | \n", "-0.166 | \n", "0.709 | \n", "-1.440 | \n", "1.211 | \n", "0.012 | \n", "0.012 | \n", "3501.0 | \n", "2636.0 | \n", "1.00 | \n", "
| global_beta_grade2 | \n", "0.059 | \n", "0.111 | \n", "-0.144 | \n", "0.270 | \n", "0.002 | \n", "0.002 | \n", "3557.0 | \n", "2499.0 | \n", "1.00 | \n", "
| subject_intercept_sigma | \n", "1.547 | \n", "0.921 | \n", "0.163 | \n", "3.256 | \n", "0.102 | \n", "0.073 | \n", "73.0 | \n", "158.0 | \n", "1.05 | \n", "
| subject_beta_grade_sigma | \n", "1.310 | \n", "0.278 | \n", "0.768 | \n", "1.838 | \n", "0.015 | \n", "0.011 | \n", "361.0 | \n", "465.0 | \n", "1.02 | \n", "
| subject_beta_grade2_sigma | \n", "0.096 | \n", "0.064 | \n", "0.008 | \n", "0.214 | \n", "0.011 | \n", "0.008 | \n", "33.0 | \n", "125.0 | \n", "1.10 | \n", "
| \n", " | mean | \n", "sd | \n", "hdi_3% | \n", "hdi_97% | \n", "mcse_mean | \n", "mcse_sd | \n", "ess_bulk | \n", "ess_tail | \n", "r_hat | \n", "
|---|---|---|---|---|---|---|---|---|---|
| global_intercept | \n", "6.562 | \n", "1.298 | \n", "4.062 | \n", "8.954 | \n", "0.010 | \n", "0.007 | \n", "17706.0 | \n", "15699.0 | \n", "1.00 | \n", "
| global_sigma | \n", "6.616 | \n", "0.407 | \n", "5.834 | \n", "7.363 | \n", "0.006 | \n", "0.004 | \n", "4818.0 | \n", "11058.0 | \n", "1.00 | \n", "
| global_beta_grade | \n", "0.011 | \n", "0.874 | \n", "-1.663 | \n", "1.591 | \n", "0.006 | \n", "0.006 | \n", "19302.0 | \n", "15874.0 | \n", "1.00 | \n", "
| global_beta_grade2 | \n", "-0.149 | \n", "0.387 | \n", "-0.889 | \n", "0.564 | \n", "0.003 | \n", "0.003 | \n", "14814.0 | \n", "13206.0 | \n", "1.00 | \n", "
| subject_intercept_sigma | \n", "5.782 | \n", "1.251 | \n", "3.361 | \n", "8.147 | \n", "0.031 | \n", "0.022 | \n", "1762.0 | \n", "1889.0 | \n", "1.00 | \n", "
| subject_beta_grade_sigma | \n", "0.547 | \n", "0.364 | \n", "0.006 | \n", "1.190 | \n", "0.020 | \n", "0.014 | \n", "228.0 | \n", "219.0 | \n", "1.02 | \n", "
| subject_beta_grade2_sigma | \n", "0.109 | \n", "0.069 | \n", "0.001 | \n", "0.226 | \n", "0.004 | \n", "0.003 | \n", "183.0 | \n", "134.0 | \n", "1.02 | \n", "
| subject_beta_grade3_sigma | \n", "0.020 | \n", "0.013 | \n", "0.000 | \n", "0.042 | \n", "0.001 | \n", "0.001 | \n", "161.0 | \n", "42.0 | \n", "1.03 | \n", "
| global_beta_female | \n", "-0.210 | \n", "0.941 | \n", "-2.012 | \n", "1.561 | \n", "0.006 | \n", "0.007 | \n", "28565.0 | \n", "15427.0 | \n", "1.00 | \n", "
| global_beta_female_grade | \n", "-0.133 | \n", "0.896 | \n", "-1.850 | \n", "1.498 | \n", "0.006 | \n", "0.006 | \n", "21601.0 | \n", "15941.0 | \n", "1.00 | \n", "
| global_beta_female_grade2 | \n", "0.027 | \n", "0.492 | \n", "-0.896 | \n", "0.944 | \n", "0.004 | \n", "0.003 | \n", "14744.0 | \n", "13544.0 | \n", "1.00 | \n", "
| global_beta_female_grade3 | \n", "-0.009 | \n", "0.071 | \n", "-0.141 | \n", "0.121 | \n", "0.001 | \n", "0.000 | \n", "14665.0 | \n", "14431.0 | \n", "1.00 | \n", "
| \n", " | rank | \n", "elpd_waic | \n", "p_waic | \n", "elpd_diff | \n", "weight | \n", "se | \n", "dse | \n", "warning | \n", "scale | \n", "
|---|---|---|---|---|---|---|---|---|---|
| Polynomial + Gender | \n", "0 | \n", "-909.783142 | \n", "43.724719 | \n", "0.000000 | \n", "1.000000e+00 | \n", "13.171545 | \n", "0.000000 | \n", "True | \n", "log | \n", "
| Linear Model | \n", "1 | \n", "-912.673495 | \n", "32.490124 | \n", "2.890353 | \n", "0.000000e+00 | \n", "13.151568 | \n", "1.744297 | \n", "True | \n", "log | \n", "
| Minimal Model | \n", "2 | \n", "-913.991390 | \n", "30.208442 | \n", "4.208248 | \n", "0.000000e+00 | \n", "13.540810 | \n", "2.680947 | \n", "True | \n", "log | \n", "
| Polynomial Model | \n", "3 | \n", "-921.420283 | \n", "27.611347 | \n", "11.637140 | \n", "5.773160e-14 | \n", "14.567538 | \n", "4.005786 | \n", "True | \n", "log | \n", "