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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.7.0 |
rolling linux/jammy R-4.5 | plsRglm_1.7.0.tar.gz |
1.0 MiB |
1.7.0 |
rolling linux/noble R-4.5 | plsRglm_1.7.0.tar.gz |
1.0 MiB |
1.7.0 |
rolling source/ R- | plsRglm_1.7.0.tar.gz |
369.9 KiB |
1.7.0 |
latest linux/jammy R-4.5 | plsRglm_1.7.0.tar.gz |
1.0 MiB |
1.7.0 |
latest linux/noble R-4.5 | plsRglm_1.7.0.tar.gz |
1.0 MiB |
1.7.0 |
latest source/ R- | plsRglm_1.7.0.tar.gz |
369.9 KiB |
1.7.0 |
2026-04-26 source/ R- | plsRglm_1.7.0.tar.gz |
369.9 KiB |
1.7.0 |
2026-04-23 source/ R- | plsRglm_1.7.0.tar.gz |
369.9 KiB |
1.7.0 |
2026-04-09 windows/windows R-4.5 | plsRglm_1.7.0.zip |
1.3 MiB |
1.5.1 |
2025-04-20 source/ R- | plsRglm_1.5.1.tar.gz |
1.4 MiB |