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:Riccardo Di Francesco [aut, cre, cph]

aggTrees_2.1.0.tar.gz
aggTrees_2.1.0.zip(r-4.7)aggTrees_2.1.0.zip(r-4.6)aggTrees_2.1.0.zip(r-4.5)
aggTrees_2.1.0.tgz(r-4.6-any)aggTrees_2.1.0.tgz(r-4.5-any)
aggTrees_2.1.0.tar.gz(r-4.7-any)aggTrees_2.1.0.tar.gz(r-4.6-any)
aggTrees_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://riccardo-df.github.io

On CRAN:

4.00 score 1 stars 5 scripts 292 downloads 13 exports 109 dependencies

Last updated from:6dd1d293eb. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	197
source / vignettes	OK	218
linux-release-x86_64	OK	196
macos-release-arm64	OK	308
macos-oldrel-arm64	OK	240
windows-devel	OK	154
windows-release	OK	177
windows-oldrel	OK	150
wasm-release	OK	132

Exports:avg_characteristics_rpart balance_measures build_aggtree causal_ols_rpart dr_scores estimate_rpart expand_df get_leaves inference_aggtree leaf_membership node_membership sample_split subtree

Dependencies:abind backports boot broom car carData caret class cli clock codetools colorspace cowplot cpp11 data.table Deriv diagram DiceKriging digest doBy dplyr e1071 estimatr farver foreach forecast Formula fracdiff future future.apply generics ggplot2 globals glue gower grf gtable hardhat ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lme4 lmtest lubridate magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa ModelMetrics modelr nlme nloptr nnet numDeriv parallelly pbkrtest pillar pkgconfig plyr pROC prodlim progressr proxy purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack recipes reformulas reshape2 rlang rpart rpart.plot S7 sandwich scales shape SparseM sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb urca utf8 vctrs viridisLite withr zoo

Inference

Riccardo Di Francesco

Rendered frominference.Rmdusingknitr::rmarkdownon May 19 2026.

Last update: 2025-02-15
Started: 2023-09-23

Tutorial

Riccardo Di Francesco

Rendered fromaggTrees-vignette.Rmdusingknitr::rmarkdownon May 19 2026.

Last update: 2025-02-15
Started: 2023-02-24

Citation

Development and contributors

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