Beta Regression for Interval-Censored Scale-Derived Outcomes

---

Documentation for package ‘betaregscale’ version 3.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

AIC.brs	Akaike information criterion
AIC.brsmm	AIC for brsmm models
anova.brs	Likelihood-ratio comparison of nested beta interval models
anova.brsmm	Likelihood-ratio comparison involving mixed models
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_cv	Group-level cross-validation for brsmm models
brsmm_re_study	Random-effects study for brsmm models
brsmm_sim	Simulate clustered scores from a mixed beta interval model
brs_bootstrap	Parametric bootstrap confidence intervals for brs models
brs_cens	Graphical and tabular censoring summary
brs_check	Map scale scores to intervals on (0, 1) and censoring types
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_loglik_contrib	Log-likelihood contributions per observation or per group
brs_marginal	Population-averaged score probabilities, expected scores and exceedance
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	Beta shape parameters from the parameters of each scheme
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	Residuals of a fitted beta interval model
residuals.brsmm	Residuals from a brsmm model
simulate.brs	Simulate responses from a fitted beta interval model
simulate.brsmm	Simulate responses from a fitted beta interval model
summary.brs	Summarize a fitted beta interval model
summary.brsmm	Summarize a fitted brsmm model
vcov.brs	Variance-covariance matrix of estimated coefficients
vcov.brsmm	Variance-covariance matrix for brsmm coefficients