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CRAN: Package pcev

pcev: Principal Component of Explained Variance

Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension- reduction technique, similar to Principal component analysis (PCA), that seeks to maximize the proportion of variance (in the response vector) being explained by a set of covariates.

Version: 2.2.2 Depends: R (≥ 3.0.0) Imports: RMTstat, stats, corpcor Suggests: knitr Published: 2018-02-03 DOI: 10.32614/CRAN.package.pcev Author: Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut], Stepan Grinek [aut] Maintainer: Maxime Turgeon <maxime.turgeon at mail.mcgill.ca> BugReports: http://github.com/GreenwoodLab/pcev/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: http://github.com/GreenwoodLab/pcev NeedsCompilation: no Citation: pcev citation info Materials: README, NEWS CRAN checks: pcev results Documentation: Reference manual: pcev.html , pcev.pdf Vignettes: Principal Component of Explained Variance (source, R code)
Downloads: Package source: pcev_2.2.2.tar.gz Windows binaries: r-devel: pcev_2.2.2.zip, r-release: pcev_2.2.2.zip, r-oldrel: pcev_2.2.2.zip macOS binaries: r-release (arm64): pcev_2.2.2.tgz, r-oldrel (arm64): pcev_2.2.2.tgz, r-release (x86_64): pcev_2.2.2.tgz, r-oldrel (x86_64): pcev_2.2.2.tgz Old sources: pcev archive Linking:

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