Iscores: Proper Scoring Rules for Missing Value Imputation

Provides tools for evaluating and ranking missing value imputation methods using proper scoring rules. Implements the Energy-I-Score and the DR-I-Score for the assessment of deterministic, stochastic and multiple imputation methods for numerical and mixed datasets, following Näf et al. (2022) <doi:10.48550/arXiv.2106.03742> and Näf et al. (2025) <doi:10.48550/arXiv.2507.11297>.

Version:	1.2.0
Imports:	energy, kernlab, pbapply, pbmcapply, ranger, scoringRules, stats
Suggests:	knitr, mice, rmarkdown, spelling, testthat (≥ 3.0.0)
Published:	2026-06-08
DOI:	10.32614/CRAN.package.Iscores
Author:	Krystyna Grzesiak [aut, cre], Loris Michel [aut, ctb], Meta-Lina Spohn [aut, ctb], Jeffrey Näf [aut, ctb]
Maintainer:	Krystyna Grzesiak <krygrz11 at gmail.com>
License:	GPL-3
URL:	https://krystynagrzesiak.github.io/Iscores/
NeedsCompilation:	no
Language:	en-US
Materials:	README
In views:	MissingData
CRAN checks:	Iscores results

Documentation:

Reference manual:	Iscores.html , Iscores.pdf
Vignettes:	Energy-I-Score: Implementation Details (source, R code) Energy-I-Score: First Steps (source, R code)

Downloads:

Package source:	Iscores_1.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: Iscores_1.2.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): Iscores_1.2.0.tgz, r-oldrel (arm64): Iscores_1.2.0.tgz, r-release (x86_64): Iscores_1.2.0.tgz, r-oldrel (x86_64): Iscores_1.2.0.tgz
Old sources:	Iscores archive

Linking:

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