Learn R Programming

ordbetareg (version 0.8)

Ordered Beta Regression Models with 'brms'

Description

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) . The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.

Copy Link

Version

Install

install.packages('ordbetareg')

Monthly Downloads

1,772

Version

0.8

License

MIT + file LICENSE

Maintainer

Robert Kubinec

Last Published

February 3rd, 2025

Functions in ordbetareg (0.8)

rordbeta

Generate Ordered Beta Variates
pp_check_ordbeta

Accurate Posterior Predictive Plots for Ordbetareg Models
sim_ordbeta

Power Calculation via Simulation of the Ordered Beta Regression Model
ordbetareg-package

ordbetareg: A Model for Continuous Data with Lower and Upper Bounds
pew

Pew American Trends Panel Wave 28
ordbetareg

Fit Ordered Beta Regression Model
plot_heiss

Heiss Plot for Predicted Proportions of Bounded Scale Components
normalize

Normalize Outcome/Response to \[0,1\] Interval
posterior_epred_ordbeta.brmsfit

Calculate Probability of Response Components
ord_fit_phi

Fitted Ordered Beta Regression Model (Phi Regression)
ord_fit_mean

Fitted Ordered Beta Regression Model
dordbeta

Probability Density Function for the Ordered Beta Distribution
sim_data

Simulated Ordered Beta Regression Values
fit_multivariate

Fitted Ordered Beta Regression Model (Multivariate regression)