Package: plsRbeta
Version: 0.2.9
Date: 2022-05-02
Depends: R (>= 3.5.0)
Imports: mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods
Enhances:
Suggests: bipartite, knitr, markdown, plotrix, pls, plsdof, prettydoc,
        rmarkdown
Title: Partial Least Squares Regression for Beta Regression 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-bertrand@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 Partial least squares Regression for (weighted) beta regression models (Bertrand 2013,  <http://journal-sfds.fr/article/view/215>) and 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
Classification/MSC: 62J12, 62J99
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
URL: https://fbertran.github.io/plsRbeta/,
        https://github.com/fbertran/plsRbeta/
BugReports: https://github.com/fbertran/plsRbeta/issues/
NeedsCompilation: no
Packaged: 2022-05-02 21:10:19 UTC; fbertran
Repository: CRAN
Date/Publication: 2022-05-02 22:52:07 UTC
Built: R 4.2.0; ; 2022-05-11 07:58:45 UTC; unix
