Causal Inference with Tree-Based Machine Learning Algorithms
Overview
Estimating heterogeneous treatment effects with tree-based machine learning algorithms and visualizing estimated results in flexible and presentation-ready ways. For more information, see Brand, Xu, Koch, and Geraldo (2021) doi:10.1177/0081175021993503. Our current package first started as a fork of the 'causalTree' package on 'GitHub' and we greatly appreciate the authors for their extremely useful and free package.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE13 OK, 1 NOTE2026-03-30
- WARNING9 OK, 4 NOTE, 1 WARNING2026-03-21
Show 2 earlier changesHide 2 earlier changes
- NOTE13 OK, 1 NOTE2026-03-17
- OK14 OK2026-03-10
Documentation
- Help pages
- 39
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 11%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 8%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.23Latest
- RR 4.5.0 released · 2025-04-11
- 0.1.202025-01-14 · diff ↗
- 0.1.192024-10-13 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.1.182023-11-29 · diff ↗
- 0.1.172023-08-12 · diff ↗
- unarchivedReturned to CRAN2023-04-25
- 0.1.162023-04-25 · diff ↗
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2023-04-05issues were not corrected in time
- 0.1.142023-03-22 · diff ↗
- 0.1.132023-03-21
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-03-21
- Total releases
- 8 / 3 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 42 KB / 1 file
- Download size
- 174 KB
Cite
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