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: | 1.1 |
| Imports: | nnet, mice, psych |
| Published: | 2020-03-03 |
| DOI: | 10.32614/CRAN.package.RBtest |
| Author: | Serguei Rouzinov and André Berchtold |
| Maintainer: | Serguei Rouzinov <rouzinovs at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | MissingData |
| CRAN checks: | RBtest results |
| Reference manual: | RBtest.html , RBtest.pdf |
| Package source: | RBtest_1.1.tar.gz |
| Windows binaries: | r-devel: RBtest_1.1.zip, r-release: RBtest_1.1.zip, r-oldrel: RBtest_1.1.zip |
| macOS binaries: | r-release (arm64): RBtest_1.1.tgz, r-oldrel (arm64): RBtest_1.1.tgz, r-release (x86_64): RBtest_1.1.tgz, r-oldrel (x86_64): RBtest_1.1.tgz |
| Old sources: | RBtest archive |
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