person("Devin", "Incerti", , "devin.incerti@gmail.com", role = c("aut", "cre")),
person("Jeroen P.", "Jansen", role = "aut")
Description: Parameterize, simulate, and analyze health-economic simulation
models. Supports N-state partitioned survival models (Glasziou et al. 1990)
<doi:10.1002/sim.4780091106> and continuous time state transition models
(Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014> parameterized using
survival or multi-state modeling (de Wreede et al. 2011, Jackson 2015)
from a cost-effectiveness analysis is quantified with standard graphical and
tabular summaries of a probabilistic sensitivity analysis (Claxton et al. 2005,
Simulation code written in C++ to boost performance.
Imports: data.table, flexsurv, MASS, Rcpp (>= 0.12.16), R6, stats,
Suggests: bookdown, covr, ggplot2, knitr, mstate, msm, numDeriv,
pracma, rmarkdown, scales, testthat, truncnorm
Packaged: 2019-03-28 21:25:16 UTC; devin.incerti

Suggests: covr, ggplot2, knitr, mstate, msm, numDeriv, pracma,
Packaged: 2019-07-03 02:03:50 UTC; devin.incerti

Packaged: 2019-11-26 17:48:39 UTC; devin.incerti

person("Jeroen P.", "Jansen", role = "aut"),
person(given = "R Core Team", role = "ctb",
comment="hesim uses some slightly modified C functions from base R")
Packaged: 2020-03-16 23:41:31 UTC; devin.incerti
R Core Team [ctb] (hesim uses some slightly modified C functions from

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
N-state partitioned survival models (Glasziou et al. 1990)
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>,
make individual-patient simulation, probabilistic sensitivity analysis,
and incorporation of patient heterogeneity fast.
Suggests: covr, ggplot2, kableExtra, knitr, mstate, msm, nnet,
numDeriv, pracma, rmarkdown, scales, testthat, truncnorm
Packaged: 2020-05-25 17:10:01 UTC; devin.incerti