Package: CompositionalRF 1.6

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_1.6.tar.gz
CompositionalRF_1.6.tar.gz(r-4.7-arm64)CompositionalRF_1.6.tar.gz(r-4.7-x86_64)CompositionalRF_1.6.tar.gz(r-4.6-arm64)CompositionalRF_1.6.tar.gz(r-4.6-x86_64)
CompositionalRF_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
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

1.48 score 180 downloads 5 exports 94 dependencies

Last updated from:9483f18f34. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK201
linux-devel-x86_64OK225
source / vignettesOK218
linux-release-arm64OK180
linux-release-x86_64OK184
wasm-releaseOK191

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

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg