Package: imputeMissings 0.0.4

imputeMissings: Impute Missing Values in a Predictive Context

Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.

Authors:Matthijs Meire [aut], Michel Ballings [aut, cre], Dirk Van den Poel [aut]

imputeMissings_0.0.4.tar.gz
imputeMissings_0.0.4.zip(r-4.7)imputeMissings_0.0.4.zip(r-4.6)imputeMissings_0.0.4.zip(r-4.5)
imputeMissings_0.0.4.tgz(r-4.6-any)imputeMissings_0.0.4.tgz(r-4.5-any)
imputeMissings_0.0.4.tar.gz(r-4.7-any)imputeMissings_0.0.4.tar.gz(r-4.6-any)
imputeMissings_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
imputeMissings/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.95 score 89 scripts 210 downloads 2 exports 1 dependencies

Last updated from:864f1aa5e3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK187
linux-release-x86_64OK101
macos-release-arm64OK79
macos-oldrel-arm64OK89
windows-develOK68
windows-releaseOK66
windows-oldrelOK68
wasm-releaseOK84

Exports:computeimpute

Dependencies:randomForest