Package: pcev
Title: Principal Component of Explained Variance
Version: 2.2.2
Authors@R: c(
  person("Maxime", "Turgeon", email = "maxime.turgeon@mail.mcgill.ca",
  role = c("aut", "cre")),
  person("Aurelie", "Labbe",
  role = c("aut")),
  person("Karim", "Oualkacha",
  role = c("aut")),
  person("Stepan", "Grinek",
  role = c("aut")))
Description: 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.
Depends: R (>= 3.0.0)
Imports: RMTstat, stats, corpcor
License: GPL (>=2)
LazyData: true
URL: http://github.com/GreenwoodLab/pcev
BugReports: http://github.com/GreenwoodLab/pcev/issues
Suggests: knitr, testthat
VignetteBuilder: knitr
RoxygenNote: 6.1.0
Repository: https://greenwoodlab.r-universe.dev
Date/Publication: 2018-12-16 16:51:08 UTC
RemoteUrl: https://github.com/greenwoodlab/pcev
RemoteRef: HEAD
RemoteSha: f54217f17f6154f4ac61459e6095215460e50c2e
NeedsCompilation: no
Packaged: 2026-06-19 09:17:58 UTC; root
Author: Maxime Turgeon [aut, cre],
  Aurelie Labbe [aut],
  Karim Oualkacha [aut],
  Stepan Grinek [aut]
Maintainer: Maxime Turgeon <maxime.turgeon@mail.mcgill.ca>