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-4.4-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'))

Peer review:

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

Datasets:
  • sim - Simulated data list

On CRAN:

gene-expressionimputationmixed-modelsrandom-forest

4.28 score 35 stars 11 scripts 176 downloads 2 exports 15 dependencies

Last updated 8 years agofrom:df5c7817a7. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winERRORNov 10 2024
R-4.5-linuxERRORNov 10 2024
R-4.4-winERRORNov 10 2024
R-4.4-macERRORNov 10 2024
R-4.3-winERRORNov 10 2024
R-4.3-macERRORNov 10 2024

Exports:MixRFMixRF.impute

Dependencies:bootcodetoolsdoParallelforeachiteratorslatticelme4MASSMatrixminqanlmenloptrrandomForestRcppRcppEigen