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) <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: | 1.1.1 |
Depends: | R (≥ 3.6) |
Imports: | Rdpack, MASS, WeightIt, cobalt, matrixNormal, geometry, sp, gbm, CBPS |
Suggests: | testthat, knitr, dagitty, ggdag, dplyr, rmarkdown |
Published: | 2021-04-28 |
Author: | Justin Williams |
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 |
CRAN checks: | mvGPS results |
Reference manual: | mvGPS.pdf |
Vignettes: |
mvGPS-intro |
Package source: | mvGPS_1.1.1.tar.gz |
Windows binaries: | r-devel: mvGPS_1.1.1.zip, r-release: mvGPS_1.1.1.zip, r-oldrel: mvGPS_1.1.1.zip |
macOS binaries: | r-release (arm64): mvGPS_1.1.1.tgz, r-release (x86_64): mvGPS_1.1.1.tgz, r-oldrel: mvGPS_1.1.1.tgz |
Old sources: | mvGPS archive |
Please use the canonical form https://CRAN.R-project.org/package=mvGPS to link to this page.