Power logit regression models for bounded continuous data, in which the density generator may be normal, Studentt, power exponential, slash, hyperbolic, sinhnormal, or type II logistic. Diagnostic tools associated with the fitted model, such as the residuals, local influence measures, leverage measures, and goodnessoffit 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>.
Package details 


Author  Felipe Queiroz [aut, cre], Silvia Ferrari [aut] 
Maintainer  Felipe Queiroz <ffelipeq@outlook.com> 
License  GPL (>= 3) 
Version  0.4.1 
URL  https://github.com/ffqueiroz/PLreg 
Package repository  View on CRAN 
Installation 
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