R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
EHRmuse
View on CRAN: Click
here
Download and install EHRmuse package within the R console
Install from CRAN:
install.packages("EHRmuse")
Install from Github:
library("remotes")
install_github("cran/EHRmuse") Install by package version:
library("remotes")
install_version("EHRmuse", "0.0.2.2") Attach the package and use:
library("EHRmuse")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-20
Latest Update: 2025-07-08
Description:
Comprehensive toolkit for addressing selection bias in binary disease models across diverse non-probability samples, each with unique selection mechanisms. It utilizes Inverse Probability Weighting (IPW) and Augmented Inverse Probability Weighting (AIPW) methods to reduce selection bias effectively in multiple non-probability cohorts by integrating data from either individual-level or summary-level external sources. The package also provides a variety of variance estimation techniques. Please refer to Kundu et al. <doi:10.48550/arXiv.2412.00228>.
How to cite:
Michael Kleinsasser (2025). EHRmuse: Multi-Cohort Selection Bias Correction using IPW and AIPW Methods. R package version 0.0.2.2, https://cran.r-project.org/web/packages/EHRmuse. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited EHRmuse R package
View EHRmuse citation profile
Other R packages that EHRmuse depends,
imports, suggests or enhances
Complete documentation for EHRmuse
Functions, R codes and Examples using
the EHRmuse R package
Full EHRmuse package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
clinUtils
Utility functions to facilitate the import,
the reporting and analysis of clinical data.
Example ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laure Cougnaud (view profile)
RCytoGPS
Defines classes and methods to process text-based
cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kevin R. Coombes (view profile)
PCADSC
A suite of non-parametric, visual tools for assessing differences in data structures
for two datase ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Anne H. Petersen (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
ncodeR
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Cody L Marquart (view profile)
leafgl
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tim Appelhans (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
