Package: CompositionalRF 1.7

Michail Tsagris

CompositionalRF: Multivariate Random Forest with Compositional Responses

Multivariate random forests with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, or the alpha-transformation of Tsagris, Preston and Wood (2011), <doi:10.48550/arXiv.1106.1451>, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.

Authors:Michail Tsagris [aut, cre], Christos Adam [aut]

CompositionalRF_1.7.tar.gz
CompositionalRF_1.7.zip(r-4.7-x86_64)CompositionalRF_1.7.zip(r-4.7-arm64)CompositionalRF_1.7.zip(r-4.6-x86_64)CompositionalRF_1.7.zip(r-4.6-arm64)
CompositionalRF_1.7.tar.gz(r-4.7-arm64)CompositionalRF_1.7.tar.gz(r-4.7-x86_64)CompositionalRF_1.7.tar.gz(r-4.6-arm64)CompositionalRF_1.7.tar.gz(r-4.6-x86_64)
CompositionalRF_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CompositionalRF/json (API)

# Install 'CompositionalRF' in R:
install.packages('CompositionalRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.30 score 542 downloads 5 exports 95 dependencies

Last updated from:f83325e918. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK156
linux-devel-x86_64OK178
source / vignettesOK283
linux-release-arm64OK163
linux-release-x86_64OK189
windows-devel-arm64OK306
windows-devel-x86_64OK285
windows-release-arm64OK275
windows-release-x86_64OK173
wasm-releaseOK170

Exports:alfa.comp.rfcomp.rfcv.alfacomprfcv.comprfmrf

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg