Package: Iscores 1.2.0

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.

Authors:Krystyna Grzesiak [aut, cre], Loris Michel [aut, ctb], Meta-Lina Spohn [aut, ctb], Jeffrey Näf [aut, ctb]

Iscores_1.2.0.tar.gz
Iscores_1.2.0.zip(r-4.7)Iscores_1.2.0.zip(r-4.6)Iscores_1.2.0.zip(r-4.5)
Iscores_1.2.0.tgz(r-4.6-any)Iscores_1.2.0.tgz(r-4.5-any)
Iscores_1.2.0.tar.gz(r-4.7-any)Iscores_1.2.0.tar.gz(r-4.6-any)
Iscores_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Iscores/json (API)

# Install 'Iscores' in R:
install.packages('Iscores', repos = c('https://krystynagrzesiak.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/krystynagrzesiak/iscores/issues

Pkgdown/docs site:https://krystynagrzesiak.github.io

On CRAN:

Conda:

4.83 score 17 scripts 68 downloads 4 exports 19 dependencies

Last updated from:79b5ab4d09. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK339
source / vignettesOK200
linux-release-x86_64OK390
macos-release-arm64OK237
macos-oldrel-arm64OK247
windows-develOK350
windows-releaseOK328
windows-oldrelOK238
wasm-releaseOK125

Exports:compare_IscoresDR_IScoreedistanceenergy_IScore

Dependencies:bootenergyevaluategslhighrkernlabknitrlatticeMASSMatrixpbapplypbmcapplyrangerRcppRcppArmadilloRcppEigenscoringRulesxfunyaml

Energy-I-Score: First Steps

Rendered fromExample_IScore.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2026-05-21
Started: 2026-05-20

Energy-I-Score: Implementation Details

Rendered fromAbout_IScore.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2026-05-21
Started: 2026-05-20