Proper Scoring Rules for Missing Value Imputation R package Iscores version 1.2.0 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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>. Software Imports: energy, kernlab, pbapply, pbmcapply, ranger, scoringRules, stats Suggests: knitr, mice, rmarkdown, spelling, testthat (>= 3.0.0) Krystyna Grzesiak <krygrz11@gmail.com> Comprehensive R Archive Network (CRAN) Krystyna Grzesiak [aut, cre] (ORCID: <https://orcid.org/0000-0003-2581-7722>), Loris Michel [aut, ctb], Meta-Lina Spohn [aut, ctb], Jeffrey Näf [aut, ctb] (ORCID: <https://orcid.org/0000-0003-0920-1899>) GPL-3 2026-06-08 application/tgz https://CRAN.R-project.org/package=Iscores doi:10.32614/CRAN.package.Iscores en-US