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 05 Jan. 2025.
Previous versions and publish date:
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
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
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)
ENMeval
Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jamie M. Kass (view profile)
GFisher
Accurate and computationally efficient p-value calculation methods for a general family of Fisher ty ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hong Zhang (view profile)
interplot
Plots the conditional coefficients ("marginal effects") of
variables included in multiplicative int ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Yue Hu (view profile)
bama
Perform mediation analysis in the presence of high-dimensional
mediators based on the potential out ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mike Kleinsasser (view profile)
uclust
Clustering and classification inference for high dimension low sample size (HDLSS) data with U-stati ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gabriela Cybis (view profile)