Man pages for adapt4pv
Adaptive Approaches for Signal Detection in Pharmacovigilance
| adapt4pv-package | Adaptive approaches for signal detection in PharmacoVigilance |
| adapt_bic | fit an adaptive lasso with adaptive weights derived from... |
| adapt_cisl | fit an adaptive lasso with adaptive weights derived from CISL |
| adapt_cv | fit an adaptive lasso with adaptive weights derived from... |
| adapt_univ | fit an adaptive lasso with adaptive weights derived from... |
| cisl | Class Imbalanced Subsampling Lasso |
| data_PV | Simulated data for the adapt4pv package |
| est_ps_bic | propensity score estimation in high dimension with automated... |
| est_ps_hdps | propensity score estimation in high dimension with automated... |
| est_ps_xgb | propensity score estimation in high dimension using gradient... |
| lasso_bic | fit a lasso regression and use standard BIC for variable... |
| lasso_cv | wrap function for 'cv.glmnet' |
| lasso_perm | fit a lasso regression and use standard permutation of the... |
| ps_adjust | adjustment on propensity score |
| ps_adjust_one | adjustment on propensity score for one drug exposure |
| ps_pond | weihting on propensity score |
| ps_pond_one | weihting on propensity score for one drug exposure |
| summary_stat | Summary statistics for main adapt4pv package functions |
