Package: CompositionalMPT 1.0

Michail Tsagris

CompositionalMPT: Compositional Data Two-Sample Test of Equal Distributions

Two-sample tests of equal distributions for compositional data, with zero values present. The p-value is computed via permutations. The relevant papers are Stewart C., Iverson S. and Field C. (2014). "Testing for a diet change using fatty acid signatures". Environmental and Ecological Statistics, <doi:10.1007/s10651-014-0280-9> and Sevinc V. and Tsagris. M. (2026). "Energy Based Equality of Distributions Testing for Compositional Data". Communications in Statistics--Simulation and Computation, <doi:10.1080/03610918.2026.2636167>.

Authors:Michail Tsagris [aut, cre]

CompositionalMPT_1.0.tar.gz
CompositionalMPT_1.0.zip(r-4.7-any)CompositionalMPT_1.0.zip(r-4.6-any)
CompositionalMPT_1.0.tar.gz(r-4.7-any)CompositionalMPT_1.0.tar.gz(r-4.6-any)
CompositionalMPT_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CompositionalMPT/json (API)

# Install 'CompositionalMPT' in R:
install.packages('CompositionalMPT', 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 258 downloads 2 exports 95 dependencies

Last updated from:96017cc3b5. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK189
source / vignettesOK201
linux-releaseOK181
windows-develOK123
windows-releaseOK119
wasm-releaseOK173

Exports:etestmpt

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg