Package: mvGPS
Title: Causal Inference using Multivariate Generalized Propensity Score
Version: 1.2.2
Authors@R: 
    person(given = "Justin",
           family = "Williams",
           role = c("aut", "cre"),
           email = "williazo@ucla.edu",
           comment = c(ORCID = "https://orcid.org/0000-0002-5045-2764"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.0
RdMacros: Rdpack
VignetteBuilder: knitr
Depends: R (>= 3.6)
Imports: Rdpack, MASS, WeightIt, cobalt, matrixNormal, geometry, sp,
        gbm, CBPS
BugReports: https://github.com/williazo/mvGPS/issues
URL: https://github.com/williazo/mvGPS
Suggests: testthat, knitr, dagitty, ggdag, dplyr, rmarkdown, ggplot2
Repository: https://williazo.r-universe.dev
Date/Publication: 2021-12-08 00:56:35 UTC
RemoteUrl: https://github.com/williazo/mvgps
RemoteRef: HEAD
RemoteSha: babf41bf51672b722e5b987a83d624ffcc6d91c8
NeedsCompilation: no
Packaged: 2026-10-11 11:36:43 UTC; root
Author: Justin Williams [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5045-2764>)
Maintainer: Justin Williams <williazo@ucla.edu>