Box-Cox Symmetric Regression for Non-Negative Data
The Box-Cox Symmetric Distributions
Extract Information From a Box-Cox Symmetric Regression Fit
Box-Cox Symmetric Regression for Positive Data
Auxiliary for Controlling a Box-Cox Symmetric Fitting
Normal Probability Plots with Simulated Envelope for a Box-Cox Symmetr...
Select the Extra Parameter of a Box-Cox Symmetric Regression Model
Influence Diagnostics for BCSreg Objects
Diagnostic Plots for a Box-Cox Symmetric Regression Fit
Extract Residuals for a Box-Cox Symmetric Regression Fit
Summarizing a Box-Cox Symmetric Regression Fit
The Zero-Adjusted Box-Cox Symmetric Distributions
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.