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:
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')) |
Bug tracker:https://github.com/randel/mixrf/issues
- sim - Simulated data list
gene-expressionimputationmixed-modelsrandom-forest
Last updated 8 years agofrom:df5c7817a7. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | ERROR | Nov 10 2024 |
R-4.5-linux | ERROR | Nov 10 2024 |
R-4.4-win | ERROR | Nov 10 2024 |
R-4.4-mac | ERROR | Nov 10 2024 |
R-4.3-win | ERROR | Nov 10 2024 |
R-4.3-mac | ERROR | Nov 10 2024 |
Exports:MixRFMixRF.impute
Dependencies:bootcodetoolsdoParallelforeachiteratorslatticelme4MASSMatrixminqanlmenloptrrandomForestRcppRcppEigen
Readme and manuals
Help Manual
Help page | Topics |
---|---|
A random-forest-based algorithm for imputing clustered incomplete data | MixRF-package |
Calculate cis- and trans-eQTLs | get_eqtl |
Mixed Random Forest | MixRF |
Impute a large number of genes using the MixRF algorithm with parallel computing | MixRF.impute |
Mixed Logistic Random Forest for Binary Data | MixRFb |
Prediction Function for MixRF | predict.MixRF |
Simulated data list | sim |