Package: plsRglm
Version: 1.2.5
Date: 2019-02-02
Depends: R (>= 2.10)
Imports: mvtnorm, boot, bipartite, car, MASS
Enhances: pls
Suggests: plsdof, R.rsp, chemometrics, plsdepot
Title: Partial Least Squares Regression for Generalized Linear Models
Authors@R: c(
	person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), email = "frederic.bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-0837-8281")),
	person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy-bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-4615-1512")))
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>),
  Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>
Description: Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
License: GPL-3
Encoding: UTF-8
URL: http://www-irma.u-strasbg.fr/~fbertran/,
        https://github.com/fbertran/plsRglm
BugReports: https://github.com/fbertran/plsRglm/issues
VignetteBuilder: R.rsp
Classification/MSC: 62J12, 62J99
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-02 02:06:45 UTC; fbertran
Repository: CRAN
Date/Publication: 2019-02-02 06:00:03 UTC
Built: R 3.5.3; ; 2020-04-22 08:36:56 UTC; windows
