Package: rospca 1.1.0

rospca: Robust Sparse PCA using the ROSPCA Algorithm

Implementation of robust sparse PCA using the ROSPCA algorithm of Hubert et al. (2016) <doi:10.1080/00401706.2015.1093962>.

Authors:Tom Reynkens [aut, cre], Valentin Todorov [ctb], Mia Hubert [ctb], Eric Schmitt [ctb], Tim Verdonck [ctb]

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rospca.pdf |rospca.html✨
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NEWS

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

Peer review:

Bug tracker:https://github.com/treynkens/rospca/issues

Datasets:

On CRAN:

robust-pcasparse-data

8 exports 12 stars 1.82 score 51 dependencies 1 mentions 42 scripts 340 downloads

Last updated 6 months agofrom:43124183a2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:angledataGendiagPlotrobpcarospcaselectLambdaselectPlotzeroMeasure

Dependencies:abindclicolorspaceDEoptimRelasticnetfansifarvergeometryggplot2gluegtableisobandlabelinglarslatticelifecyclelinproglpSolvemagicmagrittrMASSMatrixmatrixStatsmgcvmrfDepthmunsellmvtnormnlmepcaPPpillarpkgconfigplyrpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenRcppProgressreshape2rlangrobustbaserrcovscalesstringistringrtibbleutf8vctrsviridisLitewithr