plsRbeta
Partial Least Squares Regression for Beta Regression Models
Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <https://ojs-test.apps.ocp.math.cnrs.fr/index.php/J-SFdS/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.3 |
rolling linux/jammy R-4.5 | plsRbeta_0.3.3.tar.gz |
3.8 MiB |
0.3.3 |
rolling linux/noble R-4.5 | plsRbeta_0.3.3.tar.gz |
3.8 MiB |
0.3.3 |
rolling source/ R- | plsRbeta_0.3.3.tar.gz |
2.5 MiB |
0.3.3 |
latest linux/jammy R-4.5 | plsRbeta_0.3.3.tar.gz |
3.8 MiB |
0.3.3 |
latest linux/noble R-4.5 | plsRbeta_0.3.3.tar.gz |
3.8 MiB |
0.3.3 |
latest source/ R- | plsRbeta_0.3.3.tar.gz |
2.5 MiB |
0.3.3 |
2026-04-26 source/ R- | plsRbeta_0.3.3.tar.gz |
2.5 MiB |
0.3.3 |
2026-04-23 source/ R- | plsRbeta_0.3.3.tar.gz |
2.5 MiB |
0.3.3 |
2026-04-09 windows/windows R-4.5 | plsRbeta_0.3.3.zip |
3.8 MiB |
0.3.0 |
2025-04-20 source/ R- | plsRbeta_0.3.0.tar.gz |
2.5 MiB |