hesim: Health-Economic Simulation Modeling and Decision Analysis

Functionality for developing and analyzing the output of health-economic simulation models. Contains random sampling functions for conducting probabilistic sensitivity analyses (Claxton et al. 2005) <doi:10.1002/hec.985> and individual patient simulations (Brennan et al. 2006) <doi:10.1002/hec.1148>. Individualized cost-effectiveness analysis (Basu and Meltzer 2007, Ioannidis and Garber 2011) <doi:10.1177/0272989X06297393>, <doi:10.1371/journal.pmed.1001058> can be performed on simulation output and used to summarize a probabilistic sensitivity analysis at the subgroup or individual level. Core functions are written in C++ to facilitate computationally intensive modeling.

Version: 0.1.0
Depends: R (≥ 3.2.3)
Imports: data.table, Rcpp (≥ 0.12.9), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, ggplot2, knitr, msm, rmarkdown, scales, testthat, truncnorm
Published: 2017-12-03
Author: Devin Incerti [aut, cre]
Maintainer: Devin Incerti <devin.incerti at gmail.com>
BugReports: https://github.com/InnovationValueInitiative/hesim/issues
License: GPL-3
URL: https://github.com/InnovationValueInitiative/hesim
NeedsCompilation: yes
Materials: README
CRAN checks: hesim results


Reference manual: hesim.pdf
Vignettes: Individualized cost-effectiveness analysis (iCEA)
Package source: hesim_0.1.0.tar.gz
Windows binaries: r-devel: hesim_0.1.0.zip, r-release: hesim_0.1.0.zip, r-oldrel: hesim_0.1.0.zip
OS X binaries: r-release: hesim_0.1.0.tgz, r-oldrel: hesim_0.1.0.tgz


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