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: | 1.0.4 |
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: | 2021-05-05 |
Author: | Andrew Sims |
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_1.0.4.tar.gz |
Windows binaries: | r-devel: rdecision_1.0.4.zip, r-release: rdecision_1.0.4.zip, r-oldrel: rdecision_1.0.4.zip |
macOS binaries: | r-release (arm64): rdecision_1.0.4.tgz, r-release (x86_64): rdecision_1.0.4.tgz, r-oldrel: rdecision_1.0.4.tgz |
Old sources: | rdecision archive |
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