treeSimR

Introduction

An R package for easy, robust forward simulating probability decision trees, calculating cost-effectiveness and probability sensitivity analysis (PSA).

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 ).

Installing treeSimR

To install the development version from github:

library(devtools)
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.

License

GPL-3 ©