R/pexm.R

In pexm: Loading a JAGS Module for the Piecewise Exponential Distribution

#' @title pexm: Loading a Just Another Gibbs Sampling Module for the Piecewise Exponential Distribution
#'
#' @description
#' Load the Just Another Gibbs Sampling (JAGS) module "pexm". 
#' The module provides the tools to work with the Piecewise Exponential (PE) distribution in a Bayesian model with 
#' the corresponding Markov Chain Monte Carlo algorithm (Gibbs Sampling) implemented via JAGS.
#' 
#' @details 
#' The current version contains the main function \code{loadpexm} to load the proposed JAGS module. 
#' Details about JAGS can be found in the \href{https://sourceforge.net/projects/mcmc-jags/files/Manuals/3.x/jags_user_manual.pdf}{JAGS User Manual}.
#' Download instructions are presented in the home page given by this \href{https://mcmc-jags.sourceforge.io}{link}. 
#' Details about \pkg{pexm} and the piecewise exponential model can be found in \emph{Mayrink et al. (2021)}.
#' 
#' @author Vinicius D. Mayrink, Joao D. N. Duarte and Fabio N. Demarqui. 
#' 
#' Departamento de Estatistica, ICEx, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Belo Horizonte, MG, Brazil, 31270-901.
#' 
#' @docType package
#' @name pexm
#' @useDynLib pexm
#' 
#' @references
#' DOI:10.18637/jss.v100.i08 (\href{https://www.jstatsoft.org/article/view/v100i08}{Mayrink et al.; 2021})
#' 
#' @seealso
#' \code{\link{loadpexm}}
#' 
#' @import rjags coda msm 
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