| AIC.brs | Akaike information criterion |
| AIC.brsmm | AIC for brsmm models |
| anova.brs | Model comparison by analysis of deviance (LR test) for 'brs' |
| anova.brsmm | Model comparison by analysis of deviance (LR test) for 'brsmm' |
| autoplot.brs | ggplot2 autoplot for brs models |
| autoplot.brsmm | ggplot2 autoplot for brsmm models |
| autoplot.brs_bootstrap | ggplot2 autoplot for bootstrap results |
| autoplot.brs_marginaleffects | ggplot2 autoplot for marginal effects |
| BIC.brs | Bayesian information criterion |
| BIC.brsmm | BIC for brsmm models |
| brs | Fit a beta interval regression model |
| brsmm | Fit a mixed-effects beta interval regression model |
| brsmm_re_study | Random-effects study for brsmm models |
| brs_bootstrap | Parametric bootstrap confidence intervals for brs models |
| brs_cens | Graphical and tabular censoring summary |
| brs_check | Transform and validate a scale-derived response variable |
| brs_coef | Internal coefficient table (deprecated, use brs_est() or summary()) |
| brs_cv | K-fold cross-validation for brs models |
| brs_est | Coefficient estimates with inference |
| brs_gof | Goodness-of-fit measures |
| brs_hessian | Extract the Hessian matrix |
| brs_marginaleffects | Marginal effects for brs models |
| brs_predict_scoreprob | Predict score probabilities from a fitted brs model |
| brs_prep | Pre-process analyst data for beta interval regression |
| brs_repar | Reparameterize (mu, phi) into beta shape parameters |
| brs_sim | Simulate data from beta interval models |
| brs_table | Compare fitted brs models in a single table |
| coef.brs | Extract model coefficients |
| coef.brsmm | Extract coefficients from a brsmm fit |
| confint.brs | Wald confidence intervals |
| confint.brsmm | Wald confidence intervals for brsmm models |
| fitted.brs | Extract fitted values |
| fitted.brsmm | Fitted values from a brsmm model |
| formula.brs | Extract model formula |
| formula.brsmm | Extract model formula |
| logLik.brs | Extract log-likelihood |
| logLik.brsmm | Log-likelihood for brsmm models |
| model.matrix.brs | Extract design matrix |
| model.matrix.brsmm | Extract design matrix |
| nobs.brs | Number of observations |
| nobs.brsmm | Number of observations in a brsmm fit |
| plot.brs | Diagnostic plots for beta interval regression |
| plot.brsmm | Diagnostic plots for mixed beta interval regression |
| predict.brs | Predict from a fitted model |
| predict.brsmm | Predict from a brsmm model |
| print.brs | Print a fitted model (brief betareg style) |
| print.brsmm | Print a fitted brsmm model |
| print.brsmm_re_study | Print a random-effects study |
| print.brs_bootstrap | Parametric bootstrap confidence intervals for brs models |
| print.summary.brs | Print a model summary (betareg style) |
| print.summary.brsmm | Print summary for brsmm models |
| ranef | Extract random effects |
| ranef.brsmm | Extract random effects from a brsmm model |
| residuals.brs | Extract residuals |
| residuals.brsmm | Residuals from a brsmm model |
| summary.brs | Summarize a fitted model (betareg style) |
| summary.brsmm | Summarize a fitted brsmm model |
| vcov.brs | Variance-covariance matrix of estimated coefficients |
| vcov.brsmm | Variance-covariance matrix for brsmm coefficients |