Other packages > Find by keyword >

RBtest  

Regression-Based Approach for Testing the Type of Missing Data
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]
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 16 Apr. 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
03/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/14Downloads for RBtest02468101214161820222426TrendBars

Today's Hot Picks in Authors and Packages

MultiKink  
Estimation and Inference for Multi-Kink Quantile Regression
Estimation and inference for multiple kink quantile regression for longitudinal data and the i.i.d d ...
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  
datadictionary  
Create a Data Dictionary
Creates a data dictionary from any dataframe or tibble in your R environment. You can opt to add va ...
Download / Learn more Package Citations See dependency  
MM4LMM  
Inference of Linear Mixed Models Through MM Algorithm
The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed mod ...
Download / Learn more Package Citations See dependency  
hkclustering  
Ensemble Clustering using K Means and Hierarchical Clustering
Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering ap ...
Download / Learn more Package Citations See dependency  
apache.sedona  
R Interface for Apache Sedona
R interface for 'Apache Sedona' based on 'sparklyr' (). ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,993

Author Associations

24,013

Publication Badges

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