Package: CompositionalLASSO 1.0

Michail Tsagris

CompositionalLASSO: LASSO Compositional Data Regression

LASSO (Least Absolute Shrinkage and Selection Operator) regression for compositional responses with and without zero values present and continuous predictors. The choice of the penalty parameter, lambda, takes place using K-fold cross-validation. Two relevant papers are Li Z. et al. (2018) <doi:10.1007/s12561-018-9219-2> and Alenazi A.A. (2022) <doi:10.18187/pjsor.v18i4.3969>.

Authors:Michail Tsagris [aut, cre]

CompositionalLASSO_1.0.tar.gz
CompositionalLASSO_1.0.zip(r-4.7-any)CompositionalLASSO_1.0.zip(r-4.6-any)
CompositionalLASSO_1.0.tar.gz(r-4.7-any)CompositionalLASSO_1.0.tar.gz(r-4.6-any)
CompositionalLASSO_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CompositionalLASSO/json (API)

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

On CRAN:

Conda:

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

1.00 score 1 scripts 6 exports 95 dependencies

Last updated from:12f5c6ca29. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK182
source / vignettesOK232
linux-releaseOK184
windows-develOK125
windows-releaseOK141
wasm-releaseOK169

Exports:cv.lasso.compregcv.lasso.klcompregcv.lasso.mzilnlasso.compreglasso.klcompreglasso.mziln

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg