Other packages > Find by keyword >

adapt4pv  

Adaptive Approaches for Signal Detection in Pharmacovigilance
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]
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 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 0.1.0 (2020-06-24 11:40), 0.2-0 (2021-08-05 08:00), 0.2-1 (2021-09-22 10:30), 0.2-2 (2022-05-30 20:30)
Other packages that cited adapt4pv R package
View adapt4pv citation profile
Other R packages that adapt4pv depends, imports, suggests or enhances
Complete documentation for adapt4pv
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA