CRAN/E | borrowr

borrowr

Estimate Causal Effects with Borrowing Between Data Sources

Installation

About

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.

Key Metrics

Version 0.2.0
R ≥ 3.5.0
Published 2020-12-08 1239 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks borrowr results

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Maintainer

Maintainer

Jeffrey A. Boatman

jeffrey.boatman@gmail.com

Authors

Jeffrey A. Boatman

aut / cre

David M. Vock

aut

Joseph S. Koopmeiners

aut

Material

README
Reference manual
Package source

In Views

CausalInference

Vignettes

Estimating Population Average Treatment Effects with the borrowr Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

borrowr archive

Depends

R ≥ 3.5.0

Imports

mvtnorm ≥ 1.0.8
BART ≥ 2.1
Rcpp ≥ 1.0.0

Suggests

knitr
rmarkdown
ggplot2

LinkingTo

Rcpp