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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).
Getting started
Package overview
README.md
A directed graph puzzle (Bodycombe 2020)
Decision tree with PSA (Jenks 2016)
Decision tree with three decision nodes (Kaminski 2018)
Elementary decision tree (Evans 1997)
Elementary Semi-Markov Model (Chancellor 1997)
Introduction to the construction of decision trees
Markov model with probabilistic sensitivity analysis
Browse package contents
Package details |
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| Author | Andrew Sims [aut, cre] (<https://orcid.org/0000-0002-9553-7278>), Kim Fairbairn [aut] (<https://orcid.org/0000-0001-5108-6279>), Paola Cognigni [aut] (<https://orcid.org/0000-0001-5418-3103>) |
| Maintainer | Andrew Sims <andrew.sims@newcastle.ac.uk> |
| License | GPL-3 |
| Version | 1.2.1 |
| URL | https://github.com/ajsims1704/rdecision |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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