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-4.5)MixRF_1.0.zip(r-4.4)MixRF_1.0.zip(r-4.3)
MixRF_1.0.tgz(r-4.5-any)MixRF_1.0.tgz(r-4.4-any)MixRF_1.0.tgz(r-4.3-any)
MixRF_1.0.tar.gz(r-4.5-noble)MixRF_1.0.tar.gz(r-4.4-noble)
MixRF_1.0.tgz(r-4.4-emscripten)MixRF_1.0.tgz(r-4.3-emscripten)
MixRF.pdf |MixRF.html✨
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:

gene-expressionimputationmixed-modelsrandom-forest

4.39 score 35 stars 14 scripts 198 downloads 2 exports 18 dependencies

Last updated 8 years agofrom:df5c7817a7. Checks:1 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-winERRORFeb 08 2025
R-4.5-macERRORFeb 08 2025
R-4.5-linuxERRORFeb 08 2025
R-4.4-winERRORFeb 08 2025
R-4.4-macERRORFeb 08 2025
R-4.3-winERRORFeb 08 2025
R-4.3-macERRORFeb 08 2025

Exports:MixRFMixRF.impute

Dependencies:bootcodetoolsdoParallelforeachiteratorslatticelme4MASSMatrixminqanlmenloptrrandomForestrbibutilsRcppRcppEigenRdpackreformulas