Package: Compositionalasmr 1.0

Michail Tsagris

Compositionalasmr: The alpha-Spatial Median Regression for Compositional Data

The alpha-spatial median regression is performed via the iteretively reweighted least squares algorithm. At first the alpha-transformation of Tsagris, Preston and Wood (2011) <doi:10.48550/arXiv.1106.1451> is applied and then the non-linear regression model is fitted.

Authors:Michail Tsagris [aut, cre]

Compositionalasmr_1.0.tar.gz
Compositionalasmr_1.0.zip(r-4.7-any)Compositionalasmr_1.0.zip(r-4.6-any)
Compositionalasmr_1.0.tar.gz(r-4.7-any)Compositionalasmr_1.0.tar.gz(r-4.6-any)
Compositionalasmr_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Compositionalasmr/json (API)

# Install 'Compositionalasmr' in R:
install.packages('Compositionalasmr', 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 329 downloads 4 exports 95 dependencies

Last updated from:c1fd6fc366. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK169
source / vignettesOK220
linux-releaseOK165
windows-develOK142
windows-releaseOK130
wasm-releaseOK175

Exports:asmrasmr.pathasmr2cv.asmr

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg