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ordbetareg (version 0.7.2)

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 (2022) . The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.

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Version

Install

install.packages('ordbetareg')

Monthly Downloads

1,381

Version

0.7.2

License

MIT + file LICENSE

Maintainer

Robert Kubinec

Last Published

August 10th, 2023

Functions in ordbetareg (0.7.2)

sim_data

Simulated Ordered Beta Regression Values
dordbeta

Probability Density Function for the Ordered Beta Distribution
normalize

Normalize Outcome/Response to \[0,1\] Interval
fit_multivariate

Fitted Ordered Beta Regression Model (Multivariate regression)
rordbeta

Generate Ordered Beta Variates
pp_check_ordbeta

Accurate Posterior Predictive Plots for Ordbetareg Models
ordbetareg

Fit Ordered Beta Regression Model
fit_imputed

Fitted Ordered Beta Regression Model (Imputed Datasets)
pew

Pew American Trends Panel Wave 28
ord_fit_phi

Fitted Ordered Beta Regression Model (Phi Regression)
ord_fit_mean

Fitted Ordered Beta Regression Model
sim_ordbeta

Power Calculation via Simulation of the Ordered Beta Regression Model