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
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-03 23:05:56 UTC; mturgeon
Author: Maxime Turgeon [aut, cre],
  Aurelie Labbe [aut],
  Karim Oualkacha [aut],
  Stepan Grinek [aut]
Maintainer: Maxime Turgeon <maxime.turgeon@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2018-02-03 23:14:47 UTC
Built: R 4.6.0; ; 2026-04-26 23:50:24 UTC; unix
