Package: PartialTL 0.1.0

Xinhao Qu

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.

Authors:Xinhao Qu [aut, cre]

PartialTL_0.1.0.tar.gz
PartialTL_0.1.0.tar.gz(r-4.7-any)PartialTL_0.1.0.tar.gz(r-4.6-any)
PartialTL_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PartialTL/json (API)

# Install 'PartialTL' in R:
install.packages('PartialTL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jackquu/partialtl/issues

On CRAN:

Conda:

1.00 score 145 downloads 10 exports 39 dependencies

Last updated from:d17f8bf37d. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK181
linux-release-x86_64OK123
wasm-releaseOK112

Exports:boot_detectionDGPf_0f_kfit_HPTLfit_PTLg_0g_kRMSErun_bootstrap_E_hat

Dependencies:backportsbbotkcheckmatecliclusterGenerationcodetoolsdata.tabledigestDoubleMLevaluatefuturefuture.applyglobalslgrlistenvMASSmatrixStatsmiraimlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3tuningmoocoremvtnormnanonextncvregpalmerpenguinsparadoxparallellyPRROCR6rbibutilsRcppRdpackreadstata13rlanguuid