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22 lines (22 loc) · 1.37 KB
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Package: plsRglm
Version: 1.6.0
Date: 2025-09-11
Depends: R (>= 2.10)
Imports: mvtnorm, boot, bipartite, car, MASS
Enhances: pls
Suggests: chemometrics, plsdof, plsdepot, plspm, plsRcox, R.rsp, testthat (>= 3.0.0)
Title: Partial Least Squares Regression for Generalized Linear Models
Authors@R: c(
person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), email = "frederic.bertrand@lecnam.net", comment = c(ORCID = "0000-0002-0837-8281")),
person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy@ehesp.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@lecnam.net>
Description: Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <doi:10.48550/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: 7.3.3
Config/testthat/edition: 3