RBtest: Regression-Based Approach for Testing the Type of Missing Data

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.

Version: 1.0
Imports: nnet, mice, psych
Published: 2019-05-03
Author: Serguei Rouzinov and André Berchtold
Maintainer: Serguei Rouzinov <rouzinovs at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: RBtest results

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Reference manual: RBtest.pdf
Package source: RBtest_1.0.tar.gz
Windows binaries: r-devel: RBtest_1.0.zip, r-release: RBtest_1.0.zip, r-oldrel: RBtest_1.0.zip
OS X binaries: r-release: RBtest_1.0.tgz, r-oldrel: RBtest_1.0.tgz

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