BCSreg: Box-Cox Symmetric Regression for Non-Negative Data

Read full text
Authors: Felipe Queiroz, Rodrigo Medeiros
Cited by: 0

Abstract

A collection of tools for regression analysis of non-negative data, including strictly positive and zero-inflated observations, based on the class of the Box-Cox symmetric (BCS) distributions and its zero-adjusted extension. The BCS distributions are a class of flexible probability models capable of describing different levels of skewness and tail-heaviness. The package offers a comprehensive regression modeling framework, including estimation and tools for evaluating goodness-of-fit.

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Statistical Methods and Bayesian Inference Probability and Statistical Research

Publication details

Publication date
12 January 2026
Document type
Dataset