CRAN/E | hdImpute

hdImpute

A Batch Process for High Dimensional Imputation

Installation

About

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) for more on 'missRanger'.

github.com/pdwaggoner/hdImpute
Bug report File report

Key Metrics

Version 0.2.1
Published 2023-08-07 271 days ago
Needs compilation? no
License MIT
License File
CRAN checks hdImpute results

Downloads

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Maintainer

Maintainer

Philip Waggoner

philip.waggoner@gmail.com

Authors

Philip Waggoner

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Getting Started
MAD Evaluation
NA Checking

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

hdImpute archive

Imports

missRanger
plyr
purrr
magrittr
tibble
dplyr
tidyselect
tidyr
cli

Suggests

testthat ≥ 3.0.0
knitr
rmarkdown
usethis
missForest
tidyverse