rdecision: Decision Analytic Modelling in Health Economics

Classes and functions for modelling health care interventions using decision trees and semi-Markov models. 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:	1.1.1
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:	2022-05-10
Author:	Andrew Sims [aut, cre], Kim Fairbairn [aut], Paola Cognigni [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

Documentation:

Reference manual:	rdecision.pdf
Vignettes:	Introduction to the construction of decision trees 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) Elementary Semi-Markov Model (Chancellor 1997)

Downloads:

Package source:	rdecision_1.1.1.tar.gz
Windows binaries:	r-devel: rdecision_1.1.1.zip, r-release: rdecision_1.1.1.zip, r-oldrel: rdecision_1.1.1.zip
macOS binaries:	r-release (arm64): rdecision_1.1.1.tgz, r-oldrel (arm64): rdecision_1.1.1.tgz, r-release (x86_64): rdecision_1.1.1.tgz, r-oldrel (x86_64): rdecision_1.1.1.tgz
Old sources:	rdecision archive

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