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'))

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

Datasets:

sim - Simulated data list

On CRAN:

gene-expression imputation mixed-models random-forest

2 exports 35 stars 2.61 score 15 dependencies 11 scripts 129 downloads

Last updated 7 years agofrom:df5c7817a7. Checks:OK: 1 ERROR: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 11 2024
R-4.5-win	ERROR	Sep 11 2024
R-4.5-linux	ERROR	Sep 11 2024
R-4.4-win	ERROR	Sep 11 2024
R-4.4-mac	ERROR	Sep 11 2024
R-4.3-win	ERROR	Sep 11 2024
R-4.3-mac	ERROR	Sep 11 2024

Exports:MixRF MixRF.impute

Dependencies:boot codetools doParallel foreach iterators lattice lme4 MASS Matrix minqa nlme nloptr randomForest Rcpp RcppEigen

Citation

Development and contributors

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