Package: robustvarComp 0.1-7

robustvarComp: Robust Estimation of Variance Component Models

Robust Estimation of Variance Component Models by classic and composite robust procedures. The composite procedures are robust against outliers generated by the Independent Contamination Model.

Authors:Claudio Agostinelli <[email protected]> and Victor J. Yohai <[email protected]>

robustvarComp_0.1-7.tar.gz
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robustvarComp_0.1-7.tgz(r-4.6-x86_64)robustvarComp_0.1-7.tgz(r-4.6-arm64)robustvarComp_0.1-7.tgz(r-4.5-x86_64)robustvarComp_0.1-7.tgz(r-4.5-arm64)
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robustvarComp_0.1-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
robustvarComp/json (API)

# Install 'robustvarComp' in R:
install.packages('robustvarComp', repos = c('https://claudioagostinelli.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.

1.90 score 26 scripts 3.1k downloads 3 exports 40 dependencies

Last updated from:f139541bdc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK174
linux-devel-x86_64OK181
source / vignettesOK167
linux-release-arm64OK201
linux-release-x86_64OK190
macos-release-arm64OK159
macos-release-x86_64OK260
macos-oldrel-arm64OK132
macos-oldrel-x86_64OK226
windows-develOK170
windows-releaseOK148
windows-oldrelOK161
wasm-releaseOK106

Exports:summary.varComprobvarComprobvarComprob.control

Dependencies:cellWiseclicpp11DEoptimRfarverfit.modelsggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSmatrixStatsmvtnormnumDerivpcaPPplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustrobustbaserrcovS7scalesshapestringistringrsvdvctrsviridisLitewithr