Package: policytree 1.2.3
Erik Sverdrup
policytree: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
Learn optimal policies via doubly robust empirical welfare maximization over trees. Given doubly robust reward estimates, this package finds a rule-based treatment prescription policy, where the policy takes the form of a shallow decision tree that is globally (or close to) optimal.
Authors:
policytree_1.2.3.tar.gz
policytree_1.2.3.tar.gz(r-4.5-noble)policytree_1.2.3.tar.gz(r-4.4-noble)
policytree_1.2.3.tgz(r-4.4-emscripten)policytree_1.2.3.tgz(r-4.3-emscripten)
policytree.pdf |policytree.html✨
policytree/json (API)
| # Install 'policytree' in R: |
| install.packages('policytree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/grf-labs/policytree/issues
Last updated 3 months agofrom:f355509d8a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-linux-x86_64 | OK | Sep 12 2024 |
Exports:conditional_meansdouble_robust_scoresgen_data_eplgen_data_maplhybrid_policy_treemulti_causal_forestpolicy_tree
Dependencies:BHDiceKriginggrflatticelmtestMatrixRcppRcppEigensandwichzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate mean rewards mu for each treatment a | conditional_means conditional_means.causal_forest conditional_means.causal_survival_forest conditional_means.instrumental_forest conditional_means.multi_arm_causal_forest |
| Matrix Gamma of scores for each treatment a | double_robust_scores double_robust_scores.causal_forest double_robust_scores.causal_survival_forest double_robust_scores.instrumental_forest double_robust_scores.multi_arm_causal_forest |
| Example data generating process from Policy Learning With Observational Data | gen_data_epl |
| Example data generating process from Offline Multi-Action Policy Learning: Generalization and Optimization | gen_data_mapl |
| Hybrid tree search | hybrid_policy_tree |
| (deprecated) One vs. all causal forest for multiple treatment effect estimation | multi_causal_forest |
| Plot a policy_tree tree object. | plot.policy_tree |
| Fit a policy with exact tree search | policy_tree |
| Predict method for policy_tree | predict.policy_tree |
| Print a policy_tree object. | print.policy_tree |