Package: CausalGPS
Type: Package
Title: Matching on Generalized Propensity Scores with Continuous
        Exposures
Version: 0.5.1
Authors@R: c(
    person("Naeem", "Khoshnevis", email = "nkhoshnevis@g.harvard.edu",
           role=c("aut", "cre"), 
           comment = c(ORCID = "0000-0003-4315-1426", AFFILIATION="Kempner")),
    person("Xiao", "Wu", email = "xw2892@cumc.columbia.edu",
           role= c("aut"),            
           comment = c(ORCID = "0000-0002-4884-657X", AFFILIATION="CUMC")),
    person("Danielle","Braun", email = "dbraun@hsph.harvard.edu",
           role=c("aut"),     
           comment = c(ORCID = "0000-0002-5177-8598", AFFILIATION="HSPH")))
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>
Description: Provides a framework for estimating causal effects of a continuous 
    exposure using observational data, and implementing matching and weighting 
    on the generalized propensity score.
    Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. 
    Matching on generalized propensity scores with continuous exposures. Journal 
    of the American Statistical Association, pp.1-29.
License: GPL-3
Language: en-US
URL: https://github.com/NSAPH-Software/CausalGPS
BugReports: https://github.com/NSAPH-Software/CausalGPS/issues
Copyright: Harvard University
Imports: parallel, data.table, SuperLearner, xgboost, gam, MASS,
        polycor, wCorr, stats, ggplot2, rlang, logger, Rcpp, gnm,
        locpol, Ecume, KernSmooth, cowplot
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: covr, knitr, rmarkdown, ranger, earth, testthat, gridExtra
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-01-11 19:32:19 UTC; naeemkhoshnevis
Author: Naeem Khoshnevis [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4315-1426>, AFFILIATION: Kempner),
  Xiao Wu [aut] (ORCID: <https://orcid.org/0000-0002-4884-657X>,
    AFFILIATION: CUMC),
  Danielle Braun [aut] (ORCID: <https://orcid.org/0000-0002-5177-8598>,
    AFFILIATION: HSPH)
Repository: CRAN
Date/Publication: 2026-01-11 19:50:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-29 20:08:45 UTC; windows
Archs: x64
