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.
Version: 1.5.1 Depends: R (≥ 2.10) Imports: mvtnorm, boot, bipartite, car, MASS Suggests: plsdof, R.rsp, chemometrics, plsdepot Enhances: pls Published: 2023-03-14 DOI: 10.32614/CRAN.package.plsRglm Author: Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut] Maintainer: Frederic Bertrand <frederic.bertrand at utt.fr> BugReports: https://github.com/fbertran/plsRglm/issues/ License: GPL-3 URL: https://fbertran.github.io/plsRglm/, https://github.com/fbertran/plsRglm/ NeedsCompilation: no Classification/MSC: 62J12, 62J99 Citation: plsRglm citation info Materials: NEWS In views: MissingData CRAN checks: plsRglm results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=plsRglm to link to this page.
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