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) <doi:10.1080/0266476042000214501> and Hoffman and Gelman (2014) <arXiv:1111.4246>.
knitr, rmarkdown, shiny, highcharter, DT, shinydashboard,
dashboardthemes, shinyalert, shinyjs, openxlsx, tidyverse

Tests/Searches for significant clusters in genetic data.
Casella, G. and Fuentes, C. and Gopal, V.

Gopal, V. and Fuentes, C. and Casella, G.

Tools for Bayesian copula generalized linear models (GLMs).
The sampling scheme is based on Pitt, Chan, and Kohn (2006) <doi:10.1093/biomet/93.3.537>.
Regression parameters (including coefficients and dispersion parameters) are
estimated via the adaptive random walk Metropolis approach developed by
Haario, Saksman, and Tamminen (1999) <doi:10.1007/s001800050022>.
The prior for the correlation matrix is based on Hoff (2007) <doi:10.1214/07-AOAS107>.

c(person("Ethan", "Alt", role = c("aut", "cre"),
email = "ethanalt@live.unc.edu"),
person("Yash", "Bhosale", role = "aut", email = "bhosaley5@gmail.com")
)
Ethan Alt [aut, cre],
Yash Bhosale [aut]

Bayesian analysis of count distributions with JAGS
Matthew Denwood <m.denwood.1@research.gla.ac.uk>, funded as part of the DEFRA VTRI project 0101.
A set of functions to apply a zero-inflated gamma Poisson (equivalent to a zero-inflated negative binomial), zero-inflated Poisson, gamma Poisson (negative binomial) or Poisson model to a set of count data using JAGS (Just Another Gibbs Sampler).  Returns information on the possible values for mean count, overdispersion and zero inflation present in count data such as faecal egg count data.  Checks for convergence using the Gelman-Rubin statistic.  Just Another Gibbs Sampler (JAGS) must be installed.  *THIS SOFTWARE IS INTENDED FOR EDUCATIONAL PURPOSES ONLY AND SHOULD NOT BE RELIED UPON FOR REAL WORLD APPLICATIONS*