Power logit regression for modeling bounded data

The main purpose of this article is to introduce a new class regression models for bounded continuous data, commonly encountered in applied research. models, named the power logit assume that response variable follows distribution wide, flexible distributions with three parameters, namely, median, dispersion parameter and skewness parameter. offers comprehensive set tools likelihood inference diagnostic analysis, introduces R package PLreg. Applications real simulated data show merits proposed statistical tools, computational package.