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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]
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)
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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
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