Iscores: Proper Scoring Rules for Missing Value Imputation

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>
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:, r-release:, r-oldrel:
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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