Causal Effect Random Forest of Interaction Trees
Overview
Fits a Causal Effect Random Forest of Interaction Trees (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see L. Li, R. A. Levine, and J. Fan (2022) doi:10.1002/sta4.457.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-04-10
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-09
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 20%
Downloads
Dependencies
Installing CERFIT adds 54 packages (29 with compiled code, 48 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, glmnet 2.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 0.2.0Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.12025-09-26 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-06-01
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-06-01
- Total releases
- 3 / 4 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 6.4 KB / 2 files
- Download size
- 53 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CERFIT")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.