Package: plsRglm
Version: 1.5.1
Date: 2023-03-14
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@utt.fr", comment = c(ORCID = "0000-0002-0837-8281")),
	person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy@utt.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@utt.fr>
Description: Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <arXiv:1810.01005>. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/plsRglm/,
        https://github.com/fbertran/plsRglm/
BugReports: https://github.com/fbertran/plsRglm/issues/
VignetteBuilder: R.rsp
Classification/MSC: 62J12, 62J99
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2023-03-14 20:38:36 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-14 22:00:02 UTC
Built: R 4.1.3; ; 2023-04-17 20:42:16 UTC; windows
