Package: missForest
Type: Package
Title: Nonparametric Missing Value Imputation using Random Forest
Version: 1.6.1
Date: 2025-10-22
Authors@R: 
    c(person(given = c("Daniel","J."),
             family = "Stekhoven",
             role = c("aut","cre"),
             email = "stekhoven@nexus.ethz.ch"))
Maintainer: Daniel J. Stekhoven <stekhoven@nexus.ethz.ch>
Imports: randomForest, ranger, foreach, iterators, itertools, doRNG,
        stats, Rdpack
Suggests: doParallel, knitr, rmarkdown
VignetteBuilder: knitr
Description: The function 'missForest' in this package is used to
    impute missing values particularly in the case of mixed-type
    data. It uses a random forest (via 'ranger' or 'randomForest') trained on the observed values of
    a data matrix to predict the missing values. It can be used to
    impute continuous and/or categorical data including complex
    interactions and non-linear relations. It yields an out-of-bag
    (OOB) imputation error estimate without the need of a test set
    or elaborate cross-validation. It can be run in parallel to 
    save computation time.
License: GPL (>= 2)
URL: https://www.r-project.org, https://github.com/stekhoven/missForest
BugReports: https://github.com/stekhoven/missForest/issues
RdMacros: Rdpack
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-22 19:01:01 UTC; danistek
Author: Daniel J. Stekhoven [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-26 12:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 02:26:14 UTC; unix
