Package: CompositionalML 1.0

Michail Tsagris

CompositionalML: Machine Learning with Compositional Data

Machine learning algorithms for predictor variables that are compositional data and the response variable is either continuous or categorical. Specifically, the Boruta variable selection algorithm, random forest, support vector machines and projection pursuit regression are included. Relevant papers include: Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451> and Alenazi, A. (2023). "A review of compositional data analysis and recent advances". Communications in Statistics--Theory and Methods, 52(16): 5535--5567. <doi:10.1080/03610926.2021.2014890>.

Authors:Michail Tsagris [aut, cre]

CompositionalML_1.0.tar.gz
CompositionalML_1.0.tar.gz(r-4.5-noble)CompositionalML_1.0.tar.gz(r-4.4-noble)
CompositionalML_1.0.tgz(r-4.4-emscripten)CompositionalML_1.0.tgz(r-4.3-emscripten)
CompositionalML.pdf |CompositionalML.html
CompositionalML/json (API)

# Install 'CompositionalML' in R:
install.packages('CompositionalML', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

1.00 score 168 downloads 7 exports 81 dependencies

Last updated 8 months agofrom:81c2725e38. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-linuxOKOct 11 2024

Exports:alfa.borutaalfa.ppralfa.rfalfa.svmalfappr.tunealfarf.tunealfasvm.tune

Dependencies:BHbigassertrbigparallelrbigstatsrbitbootBorutaclasscliclustercodetoolscolorspaceCompositionalcowplotdoParallele1071emplikenergyfansifarverffflockforeachggplot2glmnetgluegslgtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamgcvminpack.lmmixturemnormtmunsellmvhtestsnlmennetnumDerivparallellypillarpkgconfigproxypsquadprogquantregR6rangerRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratregdaRfastRfast2RhpcBLASctlrlangrmioRnanoflannRSpectrascalesshapesnSparseMsurvivaltibbleutf8vctrsviridisLitewithr