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.

fortran

1.38 score 24 scripts 468 downloads 3 exports 48 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 22 2025
R-4.5-win-x86_64OKJan 22 2025
R-4.5-linux-x86_64OKJan 22 2025
R-4.4-win-x86_64OKJan 22 2025
R-4.4-mac-x86_64OKJan 22 2025
R-4.4-mac-aarch64OKJan 22 2025
R-4.3-win-x86_64OKJan 22 2025
R-4.3-mac-x86_64OKJan 22 2025
R-4.3-mac-aarch64OKJan 22 2025

Exports:summary.varComprobvarComprobvarComprob.control

Dependencies:cellWiseclicolorspaceDEoptimRfansifarverfit.modelsggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustrobustbaserrcovscalesshapestringistringrsvdtibbleutf8vctrsviridisLitewithr