Beta Regression on a Bayesian Model

Applies the Beta regression model on the Bayesian statistical view, 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 the package 'rstan' 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, a year 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

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

System requirements: GNU make

See at CRAN