8 нояб. 2021 г. · A beta regression model that predicts if an outcome is between 0 and 1 if it's not zero, defined by μ and ϕ.

9 мая 2022 г. · Provides a class of Bayesian beta regression models for the analysis of continuous data with support restricted to an unknown finite support.

This function fits Bayesian beta regression models. The response distribution can be either the beta with the support on (0,1) or the four-parameter beta with ...

A new Bayesian regression framework is presented for the analysis of continuous response data with support restricted to an unknown finite interval.

bayes: betareg fits a Bayesian beta regression to a fractional outcome whose values are greater than 0 and less than 1; see [BAYES] bayes and [R] betareg for ...

Bayesian Beta Regression. The following provides an example of beta regression using Stan/rstan, with comparison to results with R's betareg package.

24 янв. 2024 г. · In this paper, the parameters of beta Bayesian regression models subjected to linear inequality restrictions are estimated. The proposed ...

9 июн. 2022 г. · This approach presents the problem of determining how many and which real coefficients are significant in the regression model. The adopted ...

We detailed a Bayesian beta regression model for the statistical analysis of data supported on the interval (0, 1), such as rates and proportions. The model ...

22 окт. 2024 г. · In this paper we summarize the main points of beta regression models under Bayesian perspective, including a presentation of the ...