Package: hdImpute 0.2.1

hdImpute: A Batch Process for High Dimensional Imputation

A correlation-based batch process for fast, accurate imputation for high dimensional missing data problems via chained random forests. See Waggoner (2023) <doi:10.1007/s00180-023-01325-9> for more on 'hdImpute', Stekhoven and Bühlmann (2012) <doi:10.1093/bioinformatics/btr597> for more on 'missForest', and Mayer (2022) <https://github.com/mayer79/missRanger> for more on 'missRanger'.

Authors:Philip Waggoner [aut, cre]

hdImpute_0.2.1.tar.gz
hdImpute_0.2.1.zip(r-4.7-any)hdImpute_0.2.1.zip(r-4.6-any)hdImpute_0.2.1.zip(r-4.5-any)
hdImpute_0.2.1.tgz(r-4.6-any)hdImpute_0.2.1.tgz(r-4.5-any)
hdImpute_0.2.1.tar.gz(r-4.7-any)hdImpute_0.2.1.tar.gz(r-4.6-any)
hdImpute_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hdImpute/json (API)

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

Bug tracker:https://github.com/pdwaggoner/hdimpute/issues

On CRAN:

Conda:

3.23 score 2 stars 17 scripts 266 downloads 7 exports 28 dependencies

Last updated from:6f6b5ed757. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING154
source / vignettesOK233
linux-releaseWARNING149
macos-releaseWARNING100
macos-oldrelWARNING95
windows-develWARNING70
windows-releaseWARNING74
windows-oldrelWARNING73
wasm-releaseOK127

Exports:check_feature_nacheck_row_nafeature_corflatten_mathdImputeimpute_batchesmad

Dependencies:clicpp11dplyrFNNgenericsgluelatticelifecyclemagrittrMatrixmissRangerpillarpkgconfigplyrpurrrR6rangerRcppRcppEigenrlangstringistringrtibbletidyrtidyselectutf8vctrswithr