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.
- Version1.5.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- plsRglm citation info
- Last release03/14/2023
Documentation
Team
Frederic Bertrand
Myriam Maumy-Bertrand
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- Imports5 packages
- Enhances1 package
- Suggests4 packages
- Reverse Imports3 packages