Package: missForest
Type: Package
Title: Nonparametric Missing Value Imputation using Random Forest
Version: 1.6.1
Date: 2025-10-22
Authors@R: 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
Repository: https://stekhoven.r-universe.dev
Date/Publication: 2025-10-22 20:16:33 UTC
RemoteUrl: https://github.com/stekhoven/missforest
RemoteRef: HEAD
RemoteSha: 8543896a13d5af47878d046e860c6aeb96329861
NeedsCompilation: no
Packaged: 2026-06-20 07:06:20 UTC; root
Author: Daniel J. Stekhoven [aut, cre]