Package: aggTrees 2.1.0
aggTrees: Aggregation Trees
Nonparametric data-driven approach to discovering heterogeneous subgroups in a selection-on-observables framework. 'aggTrees' allows researchers to assess whether there exists relevant heterogeneity in treatment effects by generating a sequence of optimal groupings, one for each level of granularity. For each grouping, we obtain point estimation and inference about the group average treatment effects. Please reference the use as Di Francesco (2024) <doi:10.48550/arXiv.2410.11408>.
Authors:
aggTrees_2.1.0.tar.gz
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aggTrees.pdf |aggTrees.html✨
aggTrees/json (API)
NEWS
| # Install 'aggTrees' in R: |
| install.packages('aggTrees', repos = c('https://riccardo-df.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/riccardo-df/aggtrees/issues
Pkgdown site:https://riccardo-df.github.io
Last updated 2 months agofrom:aab4800138. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 17 2025 |
| R-4.5-win | OK | Mar 17 2025 |
| R-4.5-mac | OK | Mar 17 2025 |
| R-4.5-linux | OK | Mar 17 2025 |
| R-4.4-win | OK | Mar 17 2025 |
| R-4.4-mac | OK | Mar 17 2025 |
| R-4.4-linux | OK | Mar 17 2025 |
| R-4.3-win | OK | Mar 17 2025 |
| R-4.3-mac | OK | Mar 17 2025 |
Exports:avg_characteristics_rpartbalance_measuresbuild_aggtreecausal_ols_rpartdr_scoresestimate_rpartexpand_dfget_leavesinference_aggtreeleaf_membershipnode_membershipsample_splitsubtree
Dependencies:abindbackportsbootbroomcarcarDatacaretclasscliclockcodetoolscolorspacecowplotcpp11data.tableDerivdiagramDiceKrigingdigestdoBydplyre1071estimatrfansifarverforeachFormulafuturefuture.applygenericsggplot2globalsgluegowergrfgtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqaModelMetricsmodelrmunsellnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgconfigplyrpROCprodlimprogressrproxypurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackrecipesreformulasreshape2rlangrpartrpart.plotsandwichscalesshapeSparseMsparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Leaves Average Characteristics | avg_characteristics_rpart |
| Balance Measures | balance_measures |
| Aggregation Trees | build_aggtree inference_aggtree |
| Estimation and Inference about the GATEs with rpart Objects | causal_ols_rpart |
| Doubly-Robust Scores | dr_scores |
| GATE Estimation with rpart Objects | estimate_rpart |
| Covariate Matrix Expansion | expand_df |
| Number of Leaves | get_leaves |
| Leaf Membership | leaf_membership |
| Node Membership | node_membership |
| Plot Method for aggTrees Objects | plot.aggTrees |
| Print Method for aggTrees Objects | print.aggTrees |
| Print Method for aggTrees.inference Objects | print.aggTrees.inference |
| Sample Splitting | sample_split |
| Subtree | subtree |
| Summary Method for aggTrees Objects | summary.aggTrees |
