Package: RBtest 1.1

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.

Authors:Serguei Rouzinov and André Berchtold

RBtest_1.1.tar.gz
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RBtest_1.1.tar.gz(r-4.5-noble)RBtest_1.1.tar.gz(r-4.4-noble)
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RBtest.pdf |RBtest.html
RBtest/json (API)

# Install 'RBtest' in R:
install.packages('RBtest', repos = c('https://srstat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 173 downloads 2 exports 63 dependencies

Last updated 5 years agofrom:135be4ce16. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 09 2025
R-4.5-winOKJan 09 2025
R-4.5-linuxOKJan 09 2025
R-4.4-winOKJan 09 2025
R-4.4-macOKJan 09 2025
R-4.3-winOKJan 09 2025
R-4.3-macOKJan 09 2025

Exports:RBtestRBtest.iter

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetglueGPArotationhavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmnormtnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspsychpurrrR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr