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message: 'To cite package "betaregscale" in publications use:'
type: software
license: MIT
title: 'betaregscale: Beta Regression for Interval-Censored Scale-Derived Outcomes'
version: 2.7.1
doi: 10.32614/CRAN.package.betaregscale
abstract: 'Maximum-likelihood estimation of beta regression models for responses derived
  from bounded rating scales. Observations are treated as interval-censored on (0,
  1) after a scale-to-unit transformation, and the likelihood is built from the difference
  of the beta CDF at the interval endpoints. The complete likelihood supports mixed
  censoring types: uncensored, left-censored, right-censored, and interval-censored
  observations. Both fixed- and variable-dispersion submodels are supported, with
  flexible link functions for the mean and precision components. A compiled C++ backend
  (via ''Rcpp'' and ''RcppArmadillo'') provides numerically stable, high-performance
  log-likelihood evaluation. Standard S3 methods (print(), summary(), coef(), fitted(),
  residuals(), predict(), plot(), confint(), vcov(), logLik(), AIC(), BIC()) are available
  for fitted objects.'
authors:
- family-names: Lopes
  given-names: José Evandeilton
  email: evandeilton@gmail.com
  orcid: https://orcid.org/0009-0007-5887-4084
- family-names: Bonat
  given-names: Wagner Hugo
  orcid: https://orcid.org/0000-0002-0349-7054
repository: https://evandeilton.r-universe.dev
repository-code: https://github.com/evandeilton/betaregscale
commit: b823795be0f207ab52c86a0437ef008ec6b874eb
url: https://evandeilton.github.io/betaregscale/
date-released: '2026-05-23'
contact:
- family-names: Lopes
  given-names: José Evandeilton
  email: evandeilton@gmail.com
  orcid: https://orcid.org/0009-0007-5887-4084