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
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: 2026-10-12 09:48:45 UTC; root
Author: Qiao Liu [aut, cre], Wing Wong [aut], Balasubramanian
        Narasimhan [ctb]
Config/pak/sysreqs: libpng-dev python3
Repository: https://teddy880.r-universe.dev
Date/Publication: 2023-03-28 11:00:11 UTC
RemoteUrl: https://github.com/cran/RcausalEGM
RemoteRef: HEAD
RemoteSha: af91dbabbd8b6937d4e4531a275f1cd0005b0e60