rdecision: Decision Analytic Modelling in Health Economics

Classes and functions for modelling health care interventions using cohort models (decision trees). 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 "Decision Modelling for Health Economic Evaluation" (2006, ISBN:978-0-19-852662-9).

Version: 1.0.3
Depends: R (≥ 3.1.0)
Imports: grid, R6, rlang (≥ 0.4.2), stats, utils
Suggests: covr, knitr, pander, rmarkdown, testthat (≥ 3.0.0), utf8
Published: 2021-03-31
Author: Andrew Sims ORCID iD [aut, cre], Kim Fairbairn ORCID iD [aut]
Maintainer: Andrew Sims <andrew.sims at newcastle.ac.uk>
License: GPL-3
NeedsCompilation: no
Language: en-GB
Citation: rdecision citation info
Materials: README NEWS
CRAN checks: rdecision results


Reference manual: rdecision.pdf
Vignettes: Elementary decision tree (Evans 1997)
Decision tree with PSA (Jenks 2016)
Decision tree with three decision nodes (Kaminski 2018)
A directed graph puzzle (Bodycombe 2020)
Package source: rdecision_1.0.3.tar.gz
Windows binaries: r-devel: rdecision_1.0.3.zip, r-release: rdecision_1.0.3.zip, r-oldrel: rdecision_1.0.3.zip
macOS binaries: r-release: rdecision_1.0.3.tgz, r-oldrel: rdecision_1.0.3.tgz
Old sources: rdecision archive


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