An R package for easy, robust forward simulating probability decision trees, calculating cost-effectiveness and probability sensitivity analysis (PSA).
The package currently contains functions to:
- read-in and check tree object
- simulate final expected outcomes
- Monte-Carlo simulate multiple simulations
TODO
- iteratively collapse expected outcome (from right to left)
- iteratively collapse chance nodes (from right to left)
- optimal decision function (iterative from right to left)
The package leans heavily on the data.tree package, (introduction
here
and examples
here
).
To install the development version from github:
library(remotes)
install_github("n8thangreen/treeSimR")Then, to load the package, use:
library("treeSimR")See package Vignettes for more details and examples.
For plotting functions (e.g. C-E plane, C-E curve, risk profile (with uncertainty), tornado, spider, …) see the plotCostEffectiveness package.
GPL-3 ©