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plsRglm: Partial Least Squares Regression for Generalized Linear Models
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.
Getting started
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Package details |
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| Author | Frederic Bertrand [cre, aut] (ORCID: <https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (ORCID: <https://orcid.org/0000-0002-4615-1512>) |
| Maintainer | Frederic Bertrand <frederic.bertrand@lecnam.net> |
| License | GPL-3 |
| Version | 1.7.1 |
| URL | https://fbertran.github.io/plsRglm/ https://github.com/fbertran/plsRglm |
| Package repository | View on CRAN |
| Installation |
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