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adapt4pv
View on CRAN: Click
here
Download and install adapt4pv package within the R console
Install from CRAN:
install.packages("adapt4pv")
Install from Github:
library("remotes")
install_github("cran/adapt4pv") Install by package version:
library("remotes")
install_version("adapt4pv", "0.2-3") Attach the package and use:
library("adapt4pv")
Maintained by
Emeline Courtois
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-24
Latest Update: 2023-05-30
Description:
A collection of several pharmacovigilance signal detection methods based on adaptive lasso. Additional lasso-based and propensity score-based signal detection approaches are also supplied. See Courtois et al .
How to cite:
Emeline Courtois (2020). adapt4pv: Adaptive Approaches for Signal Detection in Pharmacovigilance. R package version 0.2-3, https://cran.r-project.org/web/packages/adapt4pv. Accessed 06 Jun. 2026.
Previous versions and publish date:
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Complete documentation for adapt4pv
Functions, R codes and Examples using
the adapt4pv R package
Some associated functions: adapt4pv-package . adapt_bic . adapt_cisl . adapt_cv . adapt_univ . cisl . data_PV . est_ps_bic . est_ps_hdps . est_ps_xgb . lasso_bic . lasso_cv . lasso_perm . ps_adjust . ps_adjust_one . ps_pond . ps_pond_one . summary_stat .
Some associated R codes: adapt4pv-package.R . adapt_bic.R . adapt_cisl.R . adapt_cv.R . adapt_univ.R . cisl.R . est_ps_bic.R . est_ps_hdps.R . est_ps_xgb.R . internals.R . iternals_cisl.R . lasso_bic.R . lasso_cv.R . lasso_perm.R . ps_adjust.R . ps_adjust_one.R . ps_pond.R . ps_pond_one.R . summary_stat.R . Full adapt4pv package functions and examples
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