Ordered Beta Regression Models with 'brms'
Probability Density Function for the Ordered Beta Distribution
Normalize Outcome/Response to [0,1] Interval
ordbetareg: A Model for Continuous Data with Lower and Upper Bounds
Fit Ordered Beta Regression Model
Heiss Plot for Predicted Proportions of Bounded Scale Components
Calculate Probability of Response Components
Accurate Posterior Predictive Plots for Ordbetareg Models
Generate Ordered Beta Variates
Power Calculation via Simulation of the Ordered Beta Regression Model
Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as survey sliders, dose-response relationships and indexes. For more information, see Kubinec (2023) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.