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
AteMeVs
View on CRAN: Click
here
Download and install AteMeVs package within the R console
Install from CRAN:
install.packages("AteMeVs")
Install from Github:
library("remotes")
install_github("cran/AteMeVs")
Install by package version:
library("remotes")
install_version("AteMeVs", "0.1.0")
Attach the package and use:
library("AteMeVs")
Maintained by
Li-Pang Chen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-04
Latest Update: 2023-09-04
Description:
A recent method proposed by Yi and Chen (2023) is used to estimate the average treatment effects using noisy data containing both measurement error and spurious variables. The package 'AteMeVs' contains a set of functions that provide a step-by-step estimation procedure, including the correction of the measurement error effects, variable selection for building the model used to estimate the propensity scores, and estimation of the average treatment effects. The functions contain multiple options for users to implement, including different ways to correct for the measurement error effects, distinct choices of penalty functions to do variable selection, and various regression models to characterize propensity scores.
How to cite:
Li-Pang Chen (2023). AteMeVs: Average Treatment Effects with Measurement Error and Variable Selection for Confounders. R package version 0.1.0, https://cran.r-project.org/web/packages/AteMeVs. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited AteMeVs R package
View AteMeVs citation profile
Other R packages that AteMeVs depends,
imports, suggests or enhances
Complete documentation for AteMeVs
Functions, R codes and Examples using
the AteMeVs R package
Some associated functions: AteMeVs-package . DG . EST_ATE . SIMEX_EST . VSE_PS .
Some associated R codes: DG.R . EST_ATE.R . SIMEX_EST.R . VSE_PS.R . Full AteMeVs package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
seriation
Infrastructure for ordering objects with an implementation of several
seriation/sequencing/ordinati ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael Hahsler (view profile)
mailR
Interface to Apache Commons Email to send emails
from R. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Rahul Premraj (view profile)
ddp
The desirable Dietary Pattern (DDP)/ PPH score
measures the variety of food consumption. The (weigh ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Weksi Budiaji (view profile)
equatiomatic
The goal of equatiomatic is to reduce the painassociated with writing LaTeX formulas from fitted mod ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Philippe Grosjean (view profile)
quickcode
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
maic
A generalised workflow for generation of subject weights to be
used in Matching-Adjusted Indirect C ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Rob Young (view profile)