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#' @title icmstate
#' @description Non-parametric estimation of transition intensities in
#' interval-censored multi-state models
#'
#'
#' @details
#' Allows for the estimation of transition intensities in interval-censored
#' multi-state models using the approach of Gomon and Putter (2024) (Multinomial likelihood) or
#' Gu et al. (2023) (Poisson likelihood).
#'
#' @author Maintainer: Daniel Gomon <dgstatsoft@gmail.com> [aut, cre] \cr
#' Hein Putter [aut]
#'
#' @name icmstate-package
#' @aliases icmstate-package
#' @docType package
#' @references Y. Gu, D. Zeng, G. Heiss, and D. Y. Lin,
#' Maximum likelihood estimation for semiparametric regression models with
#' interval-censored multistate data, Biometrika, Nov. 2023, doi:10.1093/biomet/asad073
#'
#' D. Gomon and H. Putter,
#' Non-parametric estimation of transition intensities in interval censored Markov multi-state models without loops,
#' arXiv, 2024, doi:10.48550/arXiv.2409.07176
#'
#'
#'
#'
## usethis namespace: start
#' @importFrom Rcpp sourceCpp
#' @useDynLib icmstate, .registration = TRUE
## usethis namespace: end
"_PACKAGE"
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