DESCRIPTION

Package: hesim
Type: Package
Title: Health Economic Simulation Modeling and Decision Analysis
Version: 0.5.1.9999
Authors@R: c(
    person("Devin", "Incerti", , "devin.incerti@gmail.com", role = c("aut", "cre")),
    person("Jeroen P.", "Jansen", role = "aut"),
    person(given = "R Core Team", role = "ctb",
    comment="hesim uses some slightly modified C functions from base R")
    )
Description: A modular and computationally efficient R package for  
  parameterizing, simulating, and analyzing health economic simulation 
  models. The package supports cohort discrete time state transition models 
  (Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>,
  N-state partitioned survival models (Glasziou et al. 1990)
  <doi:10.1002/sim.4780091106>, and individual-level continuous 
  time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>,
  encompassing both Markov (time-homogeneous and time-inhomogeneous) and 
  semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is 
  quantified with standard graphical and tabular summaries of a probabilistic 
  sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>, 
  <doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table
  make individual-patient simulation, probabilistic sensitivity analysis, 
  and incorporation of patient heterogeneity fast.
URL: https://hesim-dev.github.io/hesim/, https://github.com/hesim-dev/hesim
BugReports: https://github.com/hesim-dev/hesim/issues
License: GPL-3
LazyData: true
LinkingTo: Rcpp,
           RcppArmadillo
Depends:
    R (>= 3.5.0)
Imports:
    data.table,
    flexsurv,
    ggplot2,
    MASS,
    msm,
    Rcpp (>= 0.12.16),
    R6,
    stats,
    survival
Suggests:
    covr,
    kableExtra,
    knitr,
    magrittr,
    mstate,
    nnet,
    numDeriv,
    pracma,
    rmarkdown,
    scales,
    testthat,
    truncnorm
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
SystemRequirements: C++11