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) .


Reference manual

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install.packages("bayesbr") by Joao Melo, 3 months ago

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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