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: 1.0.0
Depends: parallel, stats, ranger
Published: 2021-09-08
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_1.0.0.tar.gz
Windows binaries: r-devel: Iscores_1.0.0.zip, r-release: Iscores_1.0.0.zip, r-oldrel: Iscores_1.0.0.zip
macOS binaries: r-release (arm64): Iscores_1.0.0.tgz, r-release (x86_64): Iscores_1.0.0.tgz, r-oldrel: Iscores_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Iscores to link to this page.