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
RBtest
View on CRAN: Click
here
Download and install RBtest package within the R console
Install from CRAN:
install.packages("RBtest")
Install from Github:
library("remotes")
install_github("cran/RBtest") Install by package version:
library("remotes")
install_version("RBtest", "1.1") Attach the package and use:
library("RBtest")
Maintained by
Serguei Rouzinov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-03
Latest Update: 2020-03-03
Description:
The regression-based (RB) approach is a method to test the missing data mechanism.
This package contains two functions that test the type of missing data (Missing Completely
At Random vs Missing At Random) on the basis of the RB approach. The first function applies
the RB approach independently on each variable with missing data, using the completely
observed variables only. The second function tests the missing data mechanism globally
(on all variables with missing data) with the use of all available information. The
algorithm is adapted both to continuous and categorical data.
How to cite:
Serguei Rouzinov (2019). RBtest: Regression-Based Approach for Testing the Type of Missing Data. R package version 1.1, https://cran.r-project.org/web/packages/RBtest. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:18), 1.0 (2019-05-03 14:40)
Other packages that cited RBtest R package
View RBtest citation profile
Other R packages that RBtest depends,
imports, suggests or enhances
Complete documentation for RBtest
Functions, R codes and Examples using
the RBtest R package
Some associated functions: RBtest.iter . RBtest .
Some associated R codes: RBtest.R . TestMD.R . Full RBtest package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
splm
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giovanni Millo (view profile)
skewlmm
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fernanda L. Schumacher (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)
PairedData
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephane Champely (view profile)
plaqr
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Maidman (view profile)
blandr
Carries out Bland Altman analyses (also known as a Tukey
mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Deepankar Datta (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
