bayesbr: 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) <doi:10.1080/0266476042000214501> and Hoffman and Gelman (2014) <arXiv:1111.4246>.

Depends: R (≥ 3.4.0)
Imports: methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0), coda, tidyr, dplyr, stringr, ggplot2, magrittr, fdrtool (≥ 1.2.15), Formula (≥ 1.2-3), loo (≥ 2.2.0), RcppParallel
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0), RcppParallel
Published: 2020-06-26
Author: Joao Melo [aut, cre], Vinicius Mayrink [aut]
Maintainer: Joao Melo <pjoao266 at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: bayesbr results


Reference manual: bayesbr.pdf
Package source: bayesbr_0.0.0.1.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayesbr_0.0.0.1.tgz, r-release (x86_64): bayesbr_0.0.0.1.tgz, r-oldrel: bayesbr_0.0.0.1.tgz


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