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betaregscale  

Beta Regression for Interval-Censored Scale-Derived Outcomes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("betaregscale", "2.7.4")



Attach the package and use:
library("betaregscale")
Maintained by
José Evandeilton Lopes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-25
Latest Update: 2026-02-25
Description:
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.
How to cite:
José Evandeilton Lopes (2026). betaregscale: Beta Regression for Interval-Censored Scale-Derived Outcomes. R package version 2.7.4, https://cran.r-project.org/web/packages/betaregscale. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-08-23 20:00), 2.6.9 (2026-02-25 20:30)
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