Package: Compositionalridge 1.0

Michail Tsagris

Compositionalridge: Ridge Regression for Compositional Data

A few ridge regression models for compositional data with zero values present. These are the zero adjusted Dirichlet regression, the multivariate zero inflated logistic normal, the Kullback-Leibler divergence and the alpha-regression. Some relevant papers include Tsagris and Stewart (2018) <doi:10.1134/S1995080218030198>, Tsagris et al. (2026) <doi:10.48550/arXiv.2510.12663>, and Li et al. (2018) <doi:10.1007/s12561-018-9219-2>.

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

Compositionalridge_1.0.tar.gz
Compositionalridge_1.0.zip(r-4.7-x86_64)Compositionalridge_1.0.zip(r-4.7-arm64)Compositionalridge_1.0.zip(r-4.6-x86_64)Compositionalridge_1.0.zip(r-4.6-arm64)
Compositionalridge_1.0.tar.gz(r-4.7-arm64)Compositionalridge_1.0.tar.gz(r-4.7-x86_64)Compositionalridge_1.0.tar.gz(r-4.6-arm64)Compositionalridge_1.0.tar.gz(r-4.6-x86_64)
Compositionalridge_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Compositionalridge/json (API)

# Install 'Compositionalridge' in R:
install.packages('Compositionalridge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openblascppopenmp

1.00 score 10 exports 95 dependencies

Last updated from:74ebc59e3f. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK200
source / vignettesOK215
linux-release-arm64OK146
linux-release-x86_64OK171
windows-devel-arm64OK256
windows-devel-x86_64OK203
windows-release-arm64OK266
windows-release-x86_64OK174
wasm-releaseOK205

Exports:areg.ridgecv.aregridgecv.drridgecv.kldridgecv.mzilnridgecv.zadrridgedr.ridgekld.ridgemziln.ridgezadr.ridge

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg