R: Beta Regression for Interval-Censored Scale-Derived Outcomes

# Beta Regression for Interval-Censored Scale-Derived Outcomes

## Documentation for package ‘betaregscale’ version 2.6.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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