Package: CompositionalRF 1.0
Michail Tsagris
CompositionalRF: Multivariate Random Forest with Compositional Responses
Non linear regression with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
Authors:
CompositionalRF_1.0.tar.gz
CompositionalRF_1.0.tar.gz(r-4.5-noble)CompositionalRF_1.0.tar.gz(r-4.4-noble)
CompositionalRF_1.0.tgz(r-4.4-emscripten)CompositionalRF_1.0.tgz(r-4.3-emscripten)
CompositionalRF.pdf |CompositionalRF.html✨
CompositionalRF/json (API)
| # Install 'CompositionalRF' in R: |
| install.packages('CompositionalRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:116700f1c5. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-linux | OK | Nov 02 2024 |
Dependencies:BHbigassertrbigparallelrbigstatsrbitbootbootstrapclasscliclustercodetoolscolorspaceCompositionalcowplotdoParallelemplikenergyfansifarverffflockforeachggplot2glmnetgluegslgtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamgcvminpack.lmmixturemnormtMultivariateRandomForestmunsellmvhtestsnlmennetnumDerivparallellypillarpkgconfigpsquadprogquantregR6RColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratregdaRfastRfast2RhpcBLASctlrlangrmioRnanoflannRSpectrascalesshapesnSparseMsurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multivariate Random Forests with Compositional Responses | CompositionalRF-package |
| Compositional Random Forests | comp.rf |
| Cross-Validation of the Compositional Random Forests | cv.comprf |