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

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.

Version: 1.1.0
Depends: R (≥ 3.5)
Imports: distr, EnvStats, Formula, gamlss.dist, GeneralizedHyperbolic
Suggests: testthat (≥ 3.0.0)
Published: 2026-01-12
DOI: 10.32614/CRAN.package.BCSreg (may not be active yet)
Author: Felipe Queiroz ORCID iD [aut], Rodrigo Medeiros ORCID iD [aut, cre, cph]
Maintainer: Rodrigo Medeiros <rodrigo.matheus at ufrn.br>
BugReports: https://github.com/ffqueiroz/BCSreg/issues
License: GPL (≥ 3)
URL: https://github.com/ffqueiroz/BCSreg
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: BCSreg results

Documentation:

Reference manual: BCSreg.html , BCSreg.pdf

Downloads:

Package source: BCSreg_1.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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