Beta Regression for Interval-Censored Scale-Derived Outcomes R package betaregscale version 2.6.9 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. Software Depends: R (>= 4.1.0) Imports: Formula, ggplot2, numDeriv, Rcpp (>= 1.0.12), rlang, stats LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: betareg, gridExtra, knitr, MASS, rmarkdown, testthat (>= 3.0.0) José Evandeilton Lopes <evandeilton@gmail.com> Comprehensive R Archive Network (CRAN) José Evandeilton Lopes [aut, cre] (ORCID: <https://orcid.org/0009-0007-5887-4084>), Wagner Hugo Bonat [aut] (ORCID: <https://orcid.org/0000-0002-0349-7054>) MIT + file LICENSE (https://CRAN.R-project.org/package=betaregscale/LICENSE) 2026-02-25 application/tgz https://CRAN.R-project.org/package=betaregscale doi:10.32614/CRAN.package.betaregscale