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]>

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robustvarComp_0.1-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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.

1.73 score 37 scripts 1.5k downloads 3 exports 40 dependencies

Last updated from:f139541bdc. Checks:4 NOTE, 10 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE128
linux-devel-x86_64NOTE176
source / vignettesOK179
linux-release-arm64OK127
linux-release-x86_64OK138
macos-release-arm64OK143
macos-release-x86_64OK278
macos-oldrel-arm64OK156
macos-oldrel-x86_64OK361
windows-devel-arm64NOTE296
windows-devel-x86_64NOTE175
windows-release-arm64WARNING253
windows-release-x86_64OK154
windows-oldrel-x86_64OK147
wasm-releaseOK103

Exports:summary.varComprobvarComprobvarComprob.control

Dependencies:cellWiseclicpp11DEoptimRfarverfit.modelsggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSmatrixStatsmvtnormnumDerivpcaPPplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustrobustbaserrcovS7scalesshapestringistringrsvdvctrsviridisLitewithr