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Implementation of a KL-based scoring rule to assess the quality of different missing value imputations in the broad sense as introduced in Michel et al. (2021) <doi:10.48550/arXiv.2106.03742>.
| Version: | 1.1.0 |
| Depends: | parallel, stats, ranger, kernlab |
| Published: | 2022-01-05 |
| DOI: | 10.32614/CRAN.package.Iscores |
| Author: | Loris Michel, Meta-Lina Spohn, Jeffrey Naef |
| Maintainer: | Loris Michel <michel at stat.math.ethz.ch> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | MissingData |
| CRAN checks: | Iscores results |
| Reference manual: | Iscores.pdf |
| Package source: | Iscores_1.1.0.tar.gz |
| Windows binaries: | r-devel: Iscores_1.1.0.zip, r-release: Iscores_1.1.0.zip, r-oldrel: Iscores_1.1.0.zip |
| macOS binaries: | r-release (arm64): Iscores_1.1.0.tgz, r-oldrel (arm64): Iscores_1.1.0.tgz, r-release (x86_64): Iscores_1.1.0.tgz, r-oldrel (x86_64): Iscores_1.1.0.tgz |
| Old sources: | Iscores archive |
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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.