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) <arXiv:2106.03742>.

Version:	1.1.0
Depends:	parallel, stats, ranger, kernlab
Published:	2022-01-05
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

Documentation:

Reference manual:

Iscores.pdf

Downloads:

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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