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.pdf |robustvarComp.html
robustvarComp/json (API)

# Install 'robustvarComp' in R:
install.packages('robustvarComp', repos = c('https://claudioagostinelli.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.09 score 48 dependencies 24 scripts 603 downloads

Last updated 2 years agofrom:f139541bdc. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-win-x86_64OKAug 25 2024
R-4.5-linux-x86_64OKAug 25 2024
R-4.4-win-x86_64OKAug 25 2024
R-4.4-mac-x86_64OKAug 25 2024
R-4.4-mac-aarch64OKAug 25 2024
R-4.3-win-x86_64OKAug 25 2024
R-4.3-mac-x86_64OKAug 25 2024
R-4.3-mac-aarch64OKAug 25 2024

Exports:summary.varComprobvarComprobvarComprob.control

Dependencies:cellWiseclicolorspaceDEoptimRfansifarverfit.modelsggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustrobustbaserrcovscalesshapestringistringrsvdtibbleutf8vctrsviridisLitewithr