Beta Regression on a Bayesian Model

Applies the Beta regression model in the Bayesian statistical view with the possibility of adding a spatial effect in the parameters, the Beta regression is used when the response variable is a proportion variable, that is, it only accepts values between 0 and 1. The package 'bayesbr' uses 'rstan' package to build the Bayesian statistical models. The main function of the package receives as a parameter a form informing the independent variable and the co-variables of the model to be made, as output it returns a list with the results of the model. For more details see Ferrari and Cribari-Neto (2004) and Hoffman and Gelman (2014) .


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install.packages("bayesbr")

0.0.1.0 by Joao Melo, 3 months ago


https://github.com/pjoao266/bayesbr


Report a bug at https://github.com/pjoao266/bayesbr/issues


Browse source code at https://github.com/cran/bayesbr


Authors: Joao Melo [aut, cre] , Vinicius Mayrink [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports methods, Rcpp, rstan, rstantools, coda, tidyr, dplyr, stringr, ggplot2, magrittr, fdrtool, Formula, loo, RcppParallel

Suggests knitr, rmarkdown, shiny, highcharter, DT, shinydashboard, dashboardthemes, shinyalert, shinyjs, openxlsx, tidyverse

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders, RcppParallel

System requirements: GNU make


See at CRAN