Package: CompositionalZADR 1.0

Michail Tsagris

CompositionalZADR: Compositional Data Analysis with the Zero Adjusted Dirichlet Distribution

Regression, discriminant analysis, maximum likelihood estimation, random values generation, and contour plots of the zero adjusted Dirichlet distribution. The relevant paper is Tsagris M. and Stewart C. (2018). "A Dirichlet regression model for compositional data with zeros". Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>.

Authors:Michail Tsagris [aut, cre]

CompositionalZADR_1.0.tar.gz
CompositionalZADR_1.0.zip(r-4.7-any)CompositionalZADR_1.0.zip(r-4.6-any)
CompositionalZADR_1.0.tar.gz(r-4.7-any)CompositionalZADR_1.0.tar.gz(r-4.6-any)
CompositionalZADR_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CompositionalZADR/json (API)

# Install 'CompositionalZADR' in R:
install.packages('CompositionalZADR', 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 394 downloads 7 exports 95 dependencies

Last updated from:d6e6090ae9. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK206
source / vignettesOK228
linux-releaseOK170
windows-develOK136
windows-releaseOK136
wasm-releaseOK188

Exports:dzadrzadzad.contourzad.mlezadrzadr.irlszadr2

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg