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: | 1.6.0 |
| Depends: | R (≥ 2.10) |
| Imports: | mvtnorm,boot,bipartite,car,MASS |
| Suggests: | chemometrics,plsdof,plsdepot,plspm,plsRcox,R.rsp,testthat (≥ 3.0.0) |
| Enhances: | pls |
| Published: | 2025-09-12 |
| DOI: | 10.32614/CRAN.package.plsRglm |
| Author: | Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at lecnam.net> |
| 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 |