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]

rospca_1.1.0.tar.gz
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rospca.pdf |rospca.html
rospca/json (API)
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

4.43 score 12 stars 45 scripts 312 downloads 1 mentions 8 exports 51 dependencies

Last updated 8 months agofrom:43124183a2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:angledataGendiagPlotrobpcarospcaselectLambdaselectPlotzeroMeasure

Dependencies:abindclicolorspaceDEoptimRelasticnetfansifarvergeometryggplot2gluegtableisobandlabelinglarslatticelifecyclelinproglpSolvemagicmagrittrMASSMatrixmatrixStatsmgcvmrfDepthmunsellmvtnormnlmepcaPPpillarpkgconfigplyrpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenRcppProgressreshape2rlangrobustbaserrcovscalesstringistringrtibbleutf8vctrsviridisLitewithr