The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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) <doi:10.48550/arXiv.2109.10150>.
| Version: | 1.0.1 |
| Depends: | parallel, stats, ranger |
| Published: | 2021-11-05 |
| Author: | Meta-Lina Spohn [aut, cre], Loris Michel [aut], Jeffrey Naef [aut] |
| Maintainer: | Meta-Lina Spohn <metalina.spohn at stat.math.ethz.ch> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | MissingData |
| CRAN checks: | PKLMtest results |
| Reference manual: | PKLMtest.pdf |
| Package source: | PKLMtest_1.0.1.tar.gz |
| Windows binaries: | r-devel: PKLMtest_1.0.1.zip, r-release: PKLMtest_1.0.1.zip, r-oldrel: PKLMtest_1.0.1.zip |
| macOS binaries: | r-release (arm64): PKLMtest_1.0.1.tgz, r-oldrel (arm64): PKLMtest_1.0.1.tgz, r-release (x86_64): PKLMtest_1.0.1.tgz, r-oldrel (x86_64): PKLMtest_1.0.1.tgz |
| Old sources: | PKLMtest archive |
Please use the canonical form https://CRAN.R-project.org/package=PKLMtest to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.