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fastpolicytree (version 1.0)

Constructs Policy Trees from Covariate and Reward Data

Description

Constructs optimal policy trees which provide a rule-based treatment prescription policy. Input is covariate and reward data, where, typically, the rewards will be doubly robust reward estimates. This package aims to construct optimal policy trees more quickly than the existing 'policytree' package and is intended to be used alongside that package. For more details see Cussens, Hatamyar, Shah and Kreif (2025) .

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Install

install.packages('fastpolicytree')

Version

1.0

License

GPL (>= 3)

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Maintainer

James Cussens

Last Published

June 24th, 2025

Functions in fastpolicytree (1.0)

fastpolicytree-package

fastpolicytree: Constructs Policy Trees from Covariate and Reward Data
githash

Returns git hash for compiled C code
fastpolicytree

Construct an optimal policy tree from covariate and reward data