#' The 'BoundIRT' package.
#'
#' @description Bounded continuous data are encountered in many areas of test application.
#' Examples include visual analogue scales used in the measurement of personality, mood,
#' depression, and quality of life; item response times from tests with item deadlines;
#' confidence ratings; and pain intensity ratings. Using this package, item response theory (IRT)
#' models suitable for bounded continuous item scores can be fitted to data within a Bayesian framework.
#' The package draws on posterior sampling facilities provided by R-package 'rstan' (Stan Development Team, 2025).
#' Available models include the Beta IRT model by Noel and Dauvier (2007), the continuous response
#' model by Samejima (1973), the unbounded normal model by Mellenbergh (1994),
#' and the Simplex IRT model by Flores et al. (2020). All models can be
#' fitted with or without zero-one inflation (Molenaar et al., 2022).
#' Model fit comparisons can be conducted using the Watanabe–Akaike information criterion (WAIC),
#' the leave-one-out cross-validation information criterion (LOOIC), and the fully marginalized likelihood
#' (i.e., Bayes factors).
#'
#' @name BoundIRT-package
#' @aliases boundIRT
#' @useDynLib BoundIRT, .registration = TRUE
#' @import methods
#' @import Rcpp
#' @importFrom rstan sampling
#' @importFrom rstantools rstan_config
#' @importFrom RcppParallel RcppParallelLibs
#'
#' @references Flores, S., Bazan, J.L., & Bolfarine, H. (2020). A hierarchical
#'  joint model for bounded response time and response accuracy. In M. Wiberg,
#'  D. Molenaar, J. González,U. Bockenholt, & K. S. Kim (Eds.), \emph{Quantitative
#'  psychology: The 84th Annual Meeting of the Psychometric Society, Santiago de
#'  Chile, Chile} (pp. 95-109). Springer. \doi{10.1007/978-3-030-43469-4_8}
#'
#'   Mellenbergh, G. J. (1994). A unidimensional latent trait model for continuous
#'   item responses. \emph{Multivariate Behavioral Research}, \bold{29}(3), 223-236.
#'   \doi{10.1207/s15327906mbr2903_2}
#'
#'   Molenaar, D., Cúri, M., & Bazán, J.L. (2022). Zero and One Inflated Item Response
#'   Theory Models for Bounded Continuous Data. \emph{Journal of Educational and
#'   Behavioral Statistics}, \bold{47}, 693-735. \doi{10.3102/10769986221108455}
#'
#'   Noel, Y., & Dauvier, B. (2007). A beta item response model for continuous
#'   bounded responses. \emph{Applied Psychological Measurement}, \bold{31}(1),
#'   47-73. \doi{10.1177/0146621605287691}
#'
#'  Samejima, F. (1973). Homogeneous case of the continuous response model. \emph{Psychometrika},
#'  \bold{38}(2), 203-219.\doi{10.1007/BF02291114}
#'
#'   Stan Development Team (2025). RStan: the R interface to Stan. R package
#'   version 2.32.7. \url{https://mc-stan.org/}
#,
"_PACKAGE"

