Package: CompositionalHDDA 1.0

Michail Tsagris

CompositionalHDDA: High Dimensional Discriminant Analysis with Compositional Data

High dimensional discriminant analysis with compositional data is performed. The compositional data are first transformed using the alpha-transformation of Tsagris M., Preston S. and Wood A.T.A. (2011) <doi:10.48550/arXiv.1106.1451>, and then the High Dimensional Discriminant Analysis (HDDA) algorithm of Bouveyron C. Girard S. and Schmid C. (2007) <doi:10.1080/03610920701271095> is applied.

Authors:Michail Tsagris [aut, cre]

CompositionalHDDA_1.0.tar.gz
CompositionalHDDA_1.0.tar.gz(r-4.7-any)CompositionalHDDA_1.0.tar.gz(r-4.6-any)
CompositionalHDDA_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CompositionalHDDA/json (API)

# Install 'CompositionalHDDA' in R:
install.packages('CompositionalHDDA', 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 194 downloads 2 exports 98 dependencies

Last updated from:dcb6877555. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK175
source / vignettesOK206
linux-release-x86_64OK180
wasm-releaseOK184

Exports:alfa.hddacv.alfahdda

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbootbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikenergyevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegslgtableHDclassifhighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rappdirsrARPACKRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg