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#' rdecision: Decision Analytic Modelling in Health Economics.
#'
#' The goal of `rdecision` is to provide methods for assessing health care
#' interventions using cohort models (decision trees and semi-Markov models)
#' which can be constructed using only a few lines of R code. Mechanisms
#' are provided for associating an uncertainty distribution with each source
#' variable and for ensuring transparency of the mathematical relationships
#' between
#' variables. The package terminology follows Briggs \emph{et al} "Decision
#' Modelling for Health Economic Evaluation" (2006, ISBN:978-0-19-852662-9).
#'
#' @keywords internal
"_PACKAGE"
#'
#' @importFrom graphics
#' abline
#' axis
#' rect
#' strwidth
#' text
#' @importFrom grDevices
#' dev.size
#' @importFrom grid
#' addGrob
#' convertUnit
#' grobTree
#' is.unit
#' lineToGrob
#' moveToGrob
#' textGrob
#' viewport
#' @importFrom R6
#' R6Class
#' @importFrom rlang
#' eval_bare
#' eval_tidy
#' is_quosure
#' new_quosure
#' quo
#' quos
#' quo_get_env
#' quo_get_expr
#' @importFrom stats
#' complete.cases
#' quantile
#' qbeta
#' rgamma
#' runif
#' sd
#' @importFrom withr
#' with_par
#'
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