Partial Transfer Learning for Causal Estimation
Overview
Implements partial transfer learning (PTL) for causal effect estimation using source and target data, with bootstrap-based source detection. Provides data generating processes and nuisance functions for simulation.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 20%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 9%
Also includes 2 demo scripts (run with demo())
Downloads
Repository
Checks run against github.com/jackquu/partialtl on 2026-10-11.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing PartialTL adds 37 packages (20 with compiled code, 24 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, moocore 1.9 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-02-18 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-02-18
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 9.4 KB
Cite
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Run in R for the authors' preferred citation:
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