Package: PKLMtest 1.0.1

Meta-Lina Spohn

PKLMtest: Classification Based MCAR Test

Implementation of a KL-based (Kullback-Leibler) test for MCAR (Missing Completely At Random) in the context of missing data as introduced in Michel et al. (2021) <arxiv:2109.10150>.

Authors:Meta-Lina Spohn [aut, cre], Loris Michel [aut], Jeffrey Naef [aut]

PKLMtest_1.0.1.tar.gz
PKLMtest_1.0.1.zip(r-4.7-any)PKLMtest_1.0.1.zip(r-4.6-any)PKLMtest_1.0.1.zip(r-4.5-any)
PKLMtest_1.0.1.tgz(r-4.6-any)PKLMtest_1.0.1.tgz(r-4.5-any)
PKLMtest_1.0.1.tar.gz(r-4.7-any)PKLMtest_1.0.1.tar.gz(r-4.6-any)
PKLMtest_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PKLMtest/json (API)

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

On CRAN:

Conda:

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

1.70 score 2 scripts 320 downloads 1 exports 5 dependencies

Last updated from:1fc356b84f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK160
linux-releaseOK108
macos-releaseOK157
macos-oldrelOK178
windows-develOK77
windows-releaseOK71
windows-oldrelOK74
wasm-releaseOK72

Exports:PKLMtest

Dependencies:latticeMatrixrangerRcppRcppEigen