Package: borrowr 0.2.0

Jeffrey A. Boatman

borrowr: Estimate Causal Effects with Borrowing Between Data Sources

Estimate population average treatment effects from a primary data source with borrowing from supplemental sources. Causal estimation is done with either a Bayesian linear model or with Bayesian additive regression trees (BART) to adjust for confounding. Borrowing is done with multisource exchangeability models (MEMs). For information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>. For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) <doi:10.1093/biostatistics/kxx031>.

Authors:Jeffrey A. Boatman [aut, cre], David M. Vock [aut], Joseph S. Koopmeiners [aut]

borrowr_0.2.0.tar.gz
borrowr_0.2.0.tar.gz(r-4.5-noble)borrowr_0.2.0.tar.gz(r-4.4-noble)
borrowr_0.2.0.tgz(r-4.4-emscripten)borrowr_0.2.0.tgz(r-4.3-emscripten)
borrowr.pdf |borrowr.html✨
borrowr/json (API)

# Install 'borrowr' in R:
install.packages('borrowr', repos = 'https://cloud.r-project.org')
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • adapt - Data set used in the package vignette

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.70 score 257 downloads 2 exports 7 dependencies

Last updated 4 years agofrom:810befe2e6. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-linux-x86_64OKMar 12 2025
R-4.4-linux-x86_64OKMar 12 2025

Exports:credintpate

Dependencies:BARTlatticeMatrixmvtnormnlmeRcppsurvival

Estimating Population Average Treatment Effects with the borrowr Package

Rendered fromborrowr-package.Rmdusingknitr::rmarkdownon Mar 12 2025.

Last update: 2020-12-08
Started: 2019-07-19

Citation

To cite package ‘borrowr’ in publications use:

Boatman JA, Vock DM, Koopmeiners JS (2020). borrowr: Estimate Causal Effects with Borrowing Between Data Sources. R package version 0.2.0, https://CRAN.R-project.org/package=borrowr.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {borrowr: Estimate Causal Effects with Borrowing Between
      Data Sources},
    author = {Jeffrey A. Boatman and David M. Vock and Joseph S.
      Koopmeiners},
    year = {2020},
    note = {R package version 0.2.0},
    url = {https://CRAN.R-project.org/package=borrowr},
  }

Readme and manuals

borrowr

R package for estimating the population average treatment effect using a primary data source with borrowing from supplemental data sources.

To install from source and build vignettes:

devtools::install_github("jeffrey-boatman/borrowr", build = TRUE, build_opts = c("--no-resave-data", "--no-manual"), force = TRUE)

To do:

  • update documentation (changes included: adding argument for prior probability of exchangeability, updated gamma prior for bayesian linear model, ...)