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