Package: Compositionalscsmr 1.0

Michail Tsagris

Compositionalscsmr: Simplical-Simplicial Spatial Median Regression for Compositional Data

Simplicial-simplicial regression is performed via the simplicially constrained spatial median regression model. The regression coefficients are constrained to be non-negative and sum to 1. For the spatial median regression the iteratively reweighted least squares algorithm is adopted, where quadratic programming is used to impose the constraints.

Authors:Michail Tsagris [aut, cre]

Compositionalscsmr_1.0.tar.gz
Compositionalscsmr_1.0.zip(r-4.7-any)Compositionalscsmr_1.0.zip(r-4.6-any)
Compositionalscsmr_1.0.tar.gz(r-4.7-any)Compositionalscsmr_1.0.tar.gz(r-4.6-any)
Compositionalscsmr_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Compositionalscsmr/json (API)

# Install 'Compositionalscsmr' in R:
install.packages('Compositionalscsmr', 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 566 downloads 6 exports 95 dependencies

Last updated from:8430ec4fa6. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK194
source / vignettesOK213
linux-releaseOK180
windows-develOK173
windows-releaseOK116
wasm-releaseOK174

Exports:ascsmrcv.ascsmrscsmrscsmr.indeptestternary.coefternary.coefcr

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg