Package: opImputation
Type: Package
Title: Optimal Selection of Imputation Methods for Pain-Related
        Numerical Data
Version: 0.6
Description: A model-agnostic framework for selecting dataset-specific imputation methods 
        for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) 
        "A model-agnostic framework for dataset-specific selection of missing value imputation 
        methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).
Depends: R (>= 3.5.0)
Imports: parallel, Rfit, methods, stats, caret, ABCanalysis, ggplot2,
        future, future.apply, progressr, missForest, utils, mice,
        miceRanger, multiUS, Amelia, mi, reshape2, DataVisualizations,
        abind, cowplot, twosamples, ggh4x, ggrepel, tools
LazyData: true
Suggests: testthat (>= 3.0.0)
License: GPL-3
URL: https://github.com/JornLotsch/opImputation
Encoding: UTF-8
Authors@R: c(person(given = "Jorn",
                      family = "Lotsch",
                      role = c("aut", "cre"),
                      email = "j.lotsch@em.uni-frankfurt.de",
                      comment = c(ORCID = "0000-0002-5818-6958")),
               person(given = "Alfred",
                      family = "Ultsch",
                      role = "aut",
                      comment = c(ORCID = "0000-0002-7845-3283")))
Date: 2025-11-04
NeedsCompilation: no
Packaged: 2025-11-04 12:22:21 UTC; joern
Author: Jorn Lotsch [aut, cre] (ORCID: <https://orcid.org/0000-0002-5818-6958>),
  Alfred Ultsch [aut] (ORCID: <https://orcid.org/0000-0002-7845-3283>)
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:02 UTC
Built: R 4.6.0; ; 2026-05-01 04:33:20 UTC; unix
