R/FlexReg-package.R

In FlexReg: Regression Models for Bounded Continuous and Discrete Responses

#' The `FlexReg' package.
#'
#' @description The \pkg{\link{FlexReg}} package provides functions and methods to implement several types of regression models for bounded continuous responses (e.g., proportions and rates) and
#' bounded discrete responses (e.g., number of successes in n trials).
#' Inferential statistical analysis is dealt with by a Bayesian estimation procedure based on the Hamiltonian Monte Carlo (HMC) algorithm through the \pkg{\link{rstan}} package.
#'
#' @docType package
#' @name FlexReg-package
#' @aliases FlexReg
#' @useDynLib FlexReg, .registration = TRUE
#' @import methods
#' @import Rcpp
#' @importFrom rstan sampling
#' @importFrom RcppParallel RcppParallelLibs
#'
#' @references
#' Ascari, R., Migliorati, S. (2021). A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros. Statistics in Medicine, \bold{40}(17), 3895--3914. doi:10.1002/sim.9005 \cr
#' \cr
#' Di Brisco, A. M., Migliorati, S. (2020). A new mixed-effects mixture model for constrained longitudinal data. Statistics in Medicine, \bold{39}(2), 129--145. doi:10.1002/sim.8406 \cr
#' \cr
#' Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020). Robustness against outliers: A new variance inflated regression model for proportions. Statistical Modelling, \bold{20}(3), 274--309. doi:10.1177/1471082X18821213 \cr
#' \cr
#' Ferrari, S.L.P., Cribari-Neto, F. (2004). Beta Regression for Modeling Rates and Proportions. Journal of Applied Statistics, \bold{31}(7), 799--815. doi:10.1080/0266476042000214501\cr
#' \cr
#' Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018). A New Regression Model for Bounded Responses. Bayesian Analysis, \bold{13}(3), 845--872. doi:10.1214/17-BA1079 \cr
#' \cr
#' Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org
#'
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