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BCSreg  

Box-Cox Symmetric Regression for Non-Negative Data
View on CRAN: Click here


Download and install BCSreg package within the R console
Install from CRAN:
install.packages("BCSreg")

Install from Github:
library("remotes")
install_github("cran/BCSreg")

Install by package version:
library("remotes")
install_version("BCSreg", "1.1.0")



Attach the package and use:
library("BCSreg")
Maintained by
Rodrigo Medeiros
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-12
Latest Update: 2026-01-12
Description:
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.
How to cite:
Rodrigo Medeiros (2026). BCSreg: Box-Cox Symmetric Regression for Non-Negative Data. R package version 1.1.0, https://cran.r-project.org/web/packages/BCSreg. Accessed 04 Jul. 2026.
Previous versions and publish date:
1.1.0 (2026-01-12 19:50)
Other packages that cited BCSreg R package
View BCSreg citation profile
Other R packages that BCSreg depends, imports, suggests or enhances
Complete documentation for BCSreg
Functions, R codes and Examples using the BCSreg R package
Full BCSreg package functions and examples
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