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aggTrees

Aggregation Trees

v2.1.0 · Sep 9, 2024 · MIT + file LICENSE

Description

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 (2022) <doi:10.2139/ssrn.4304256>.

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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Packages required but not available: 'car', 'caret'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 2, 2026
ERROR 11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 25, 2026
ERROR r-release-macos-x86_64

package dependencies

Package required but not available: ‘caret’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies boot broom car caret estimatr grf rpart rpart.plot stringr aggTrees

Version History

6 tracked
new 2.1.0 Mar 10, 2026
updated 2.1.0 ← 2.0.2 diff Sep 8, 2024
updated 2.0.2 ← 2.0.1 diff Sep 19, 2023
updated 2.0.1 ← 2.0.0 diff Aug 8, 2023
updated 2.0.0 ← 1.0.0 diff Feb 21, 2023
new 1.0.0 Feb 8, 2023