Package: MixRF 1.0

MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.

Authors:Jiebiao Wang and Lin S. Chen

MixRF_1.0.tar.gz
MixRF_1.0.zip(r-4.7-any)MixRF_1.0.zip(r-4.6-any)MixRF_1.0.zip(r-4.5-any)
MixRF_1.0.tgz(r-4.6-any)MixRF_1.0.tgz(r-4.5-any)
MixRF_1.0.tar.gz(r-4.7-any)MixRF_1.0.tar.gz(r-4.6-any)
MixRF_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MixRF/json (API)

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

Bug tracker:https://github.com/randel/mixrf/issues

Datasets:
  • sim - Simulated data list

On CRAN:

Conda:

gene-expressionimputationmixed-modelsrandom-forest

4.49 score 36 stars 17 scripts 274 downloads 2 exports 18 dependencies

Last updated from:df5c7817a7. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR124
source / vignettesOK159
linux-releaseERROR129
macos-releaseERROR116
macos-oldrelERROR100
windows-develERROR106
windows-releaseERROR63
windows-oldrelERROR121
wasm-releaseOK120

Exports:MixRFMixRF.impute

Dependencies:bootcodetoolsdoParallelforeachiteratorslatticelme4MASSMatrixminqanlmenloptrrandomForestrbibutilsRcppRcppEigenRdpackreformulas