PLreg
Power Logit Regression for Modeling Bounded Data
Power logit regression models for bounded continuous data, in which the density generator may be normal, Student-t, power exponential, slash, hyperbolic, sinh-normal, or type II logistic. Diagnostic tools associated with the fitted model, such as the residuals, local influence measures, leverage measures, and goodness-of-fit statistics, are implemented. The estimation process follows the maximum likelihood approach and, currently, the package supports two types of estimators: the usual maximum likelihood estimator and the penalized maximum likelihood estimator. More details about power logit regression models are described in Queiroz and Ferrari (2022) <arXiv:2202.01697>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.1 |
rolling linux/jammy R-4.5 | PLreg_0.4.1.tar.gz |
186.3 KiB |
0.4.1 |
rolling linux/noble R-4.5 | PLreg_0.4.1.tar.gz |
186.2 KiB |
0.4.1 |
rolling source/ R- | PLreg_0.4.1.tar.gz |
46.4 KiB |
0.4.1 |
latest linux/jammy R-4.5 | PLreg_0.4.1.tar.gz |
186.3 KiB |
0.4.1 |
latest linux/noble R-4.5 | PLreg_0.4.1.tar.gz |
186.2 KiB |
0.4.1 |
latest source/ R- | PLreg_0.4.1.tar.gz |
46.4 KiB |
0.4.1 |
2026-04-26 source/ R- | PLreg_0.4.1.tar.gz |
46.4 KiB |
0.4.1 |
2026-04-23 source/ R- | PLreg_0.4.1.tar.gz |
46.4 KiB |
0.4.1 |
2026-04-09 windows/windows R-4.5 | PLreg_0.4.1.zip |
189.3 KiB |
0.4.1 |
2025-04-20 source/ R- | PLreg_0.4.1.tar.gz |
46.4 KiB |