Package: RcausalEGM
Type: Package
Title: A General Causal Inference Framework by Encoding Generative
        Modeling
Version: 0.3.3
Date: 2023-03-22
Authors@R: c(
    person("Qiao", "Liu", role = c("aut", "cre"), email = "liuqiao@stanford.edu"),
    person("Wing", "Wong", role = "aut"),
    person("Balasubramanian", "Narasimhan", role = "ctb")
    )
Maintainer: Qiao Liu <liuqiao@stanford.edu>
Description: CausalEGM is a general causal inference framework for estimating causal effects by encoding generative modeling, which can be applied in both discrete and continuous treatment settings. A description of the methods is given in Liu (2022) <arXiv:2212.05925>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate
URL: https://github.com/SUwonglab/CausalEGM
BugReports: https://github.com/SUwonglab/CausalEGM/issues
Repository: CRAN
Depends: R(>= 3.6.0)
RoxygenNote: 7.2.3
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-03-28 01:42:24 UTC; kimmo
Author: Qiao Liu [aut, cre],
  Wing Wong [aut],
  Balasubramanian Narasimhan [ctb]
Date/Publication: 2023-03-28 12:00:11 UTC
Built: R 4.6.0; ; 2026-04-25 15:39:07 UTC; unix
