An implementation of the modelling and reporting features described in reference textbooks and guidelines: deterministic and probabilistic sensitivity analysis, heterogeneity analysis, time dependency on state-time and model-time (semi-Markov and non-homogeneous Markov models), etc.

Maintainer: Antoine Filipovic-Pierucci <pierucci at gmail.com>

Author(s): Antoine Filipovic-Pierucci*, Kevin Zarca*, Matthew Wiener*, Zdenek Kabat*, Vojtech Filipec*, Jordan Amdahl*, Yonatan Carranza Alarcon*, Vince Daniels*

Install package and any missing dependencies by running this line in your R console:

install.packages("heemod")

Depends R (>= 3.3.0)
Imports dplyr(>=0.7.2), ggplot2(>=2.2.0), lazyeval(>=0.2.0), memoise(>=1.1.0), mvnfast(>=0.2.2), plyr(>=1.8.0), pryr(>=0.1.2), tibble(>=1.3.0)
Suggests BCEA, diagram, flexsurv, Hmisc, knitr, logitnorm, lpSolve, mgcv, optimx, parallel, readxl, rgho, rmarkdown, stringr, survival, testthat, triangle, XLConnect
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package heemod
Materials
URL https://github.com/pierucci/heemod https://pierucci.org
Task Views
Version 0.9.2
Published 2017-09-15
License GPL (>= 3)
BugReports https://github.com/pierucci/heemod/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks heemod check results
Package source heemod_0.9.2.tar.gz