Package: missknn
Type: Package
Title: Fast Masked K-Nearest Neighbor Imputation
Version: 1.2.0
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Authors@R: person("Imad", "El Badisy", email = "elbadisyimad@gmail.com", role = c("aut", "cre"))
Description: Fast masked k-nearest neighbor imputation for mixed-type
    tabular data. Distances are computed only on the variables jointly observed
    by the receiver and the donor, and missing values are filled by local
    regression (numeric) or weighted vote (categorical) over the nearest donors.
    Returns completed data for single imputation or a list of completed data
    sets for multiple imputation.
URL: https://CRAN.R-project.org/package=missknn
BugReports: https://github.com/ielbadisy/missknn/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: basetable (>= 1.4.2), Rcpp, RcppParallel, stats
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Suggests: bench, ggplot2, knitr, rmarkdown, mimar, missForest,
        missRanger, VIM, testthat (>= 3.0.0), roxygen2
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-11-08 21:33:05 UTC; imad-el-badisy
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-11-09 20:30:08 UTC
