Package: RBtest 1.1
Serguei Rouzinov
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:
RBtest_1.1.tar.gz
RBtest_1.1.tar.gz(r-4.5-noble)RBtest_1.1.tar.gz(r-4.4-noble)
RBtest_1.1.tgz(r-4.4-emscripten)RBtest_1.1.tgz(r-4.3-emscripten)
RBtest.pdf |RBtest.html✨
RBtest/json (API)
| # Install 'RBtest' in R: |
| install.packages('RBtest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:135be4ce16. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-linux | OK | Nov 06 2024 |
Exports:RBtestRBtest.iter
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetglueGPArotationhavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmnormtnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspsychpurrrR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Test of missing data mechanism using complete data | RBtest |
| Test of missing data mechanism using all available information | RBtest.iter |