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PartialTL: Partial Transfer Learning for Causal Estimation

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.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: MASS, DoubleML, ncvreg
Suggests: lgr, mlr3, mlr3learners, glmnet
Published: 2026-02-18
DOI: 10.32614/CRAN.package.PartialTL
Author: Xinhao Qu [aut, cre]
Maintainer: Xinhao Qu <xqu018 at ucr.edu>
BugReports: https://github.com/JackQuu/PartialTL/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/JackQuu/PartialTL
NeedsCompilation: no
CRAN checks: PartialTL results

Documentation:

Reference manual: PartialTL.html , PartialTL.pdf

Downloads:

Package source: PartialTL_0.1.0.tar.gz
Windows binaries: r-devel: PartialTL_0.1.0.zip, r-release: PartialTL_0.1.0.zip, r-oldrel: PartialTL_0.1.0.zip
macOS binaries: r-release (arm64): PartialTL_0.1.0.tgz, r-oldrel (arm64): PartialTL_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PartialTL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.