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mvGPS: Causal Inference using Multivariate Generalized Propensity Score

Methods for estimating and utilizing the multivariate generalized propensity score (mvGPS) for multiple continuous exposures described in Williams, J.R, and Crespi, C.M. (2020) <doi:10.48550/arXiv.2008.13767>. The methods allow estimation of a dose-response surface relating the joint distribution of multiple continuous exposure variables to an outcome. Weights are constructed assuming a multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. Confounders can be different for different exposure variables. The weights are designed to achieve balance across all exposure dimensions and can be used to estimate dose-response surfaces.

Version: 1.2.2
Depends: R (≥ 3.6)
Imports: Rdpack, MASS, WeightIt, cobalt, matrixNormal, geometry, sp, gbm, CBPS
Suggests: testthat, knitr, dagitty, ggdag, dplyr, rmarkdown, ggplot2
Published: 2021-12-07
DOI: 10.32614/CRAN.package.mvGPS
Author: Justin Williams ORCID iD [aut, cre]
Maintainer: Justin Williams <williazo at ucla.edu>
BugReports: https://github.com/williazo/mvGPS/issues
License: MIT + file LICENSE
URL: https://github.com/williazo/mvGPS
NeedsCompilation: no
Citation: mvGPS citation info
Materials: NEWS
In views: CausalInference
CRAN checks: mvGPS results

Documentation:

Reference manual: mvGPS.pdf
Vignettes: mvGPS-intro

Downloads:

Package source: mvGPS_1.2.2.tar.gz
Windows binaries: r-devel: mvGPS_1.2.2.zip, r-release: mvGPS_1.2.2.zip, r-oldrel: mvGPS_1.2.2.zip
macOS binaries: r-release (arm64): mvGPS_1.2.2.tgz, r-oldrel (arm64): mvGPS_1.2.2.tgz, r-release (x86_64): mvGPS_1.2.2.tgz, r-oldrel (x86_64): mvGPS_1.2.2.tgz
Old sources: mvGPS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mvGPS 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.
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