Package: interflex
Type: Package
Version: 1.4.1.9000
Title: Estimation, Diagnostics and Visualization of Conditional
        Marginal Effects
Date: 2026-09-20
Authors@R: c(person("Yiqing Xu", role=c("aut","cre"), email = "yiqingxu@stanford.edu"),
	     person("Jens Hainmueller", role=c("aut")),
	     person("Jonathan Mummolo", role=c("aut")),
	     person("Tianzhu Qin", role=c("aut")),
	     person("Jiehan Liu", role=c("aut")),
	     person("Ziyi Liu", role=c("aut")))
Description: Performs estimation, diagnostics, and visualization of
        conditional marginal effects and group average treatment
        effects of a treatment on an outcome across different values of
        a moderator. Optionally integrates with the 'mlr3extralearners'
        package for additional machine learning backends compatible
        with the double machine learning estimators.
        'mlr3extralearners' is not on CRAN but can be obtained from
        <https://github.com/mlr-org/mlr3extralearners>.
URL: https://yiqingxu.org/packages/interflex/,
        https://github.com/xuyiqing/interflex
BugReports: https://github.com/xuyiqing/interflex/issues
Additional_repositories: https://mlr-org.r-universe.dev
License: MIT + file LICENSE
Imports: ggplot2 (>= 2.1.0), sandwich (>= 2.3-4), Lmoments (>= 1.2-3),
        doFuture, doRNG, foreach (>= 1.4.3), mgcv(>= 1.8-16), lfe (>=
        2.6-2291), gridExtra, grid, ggplotify, fixest, RColorBrewer,
        pcse, gtable, MASS, mvtnorm, pROC, ModelMetrics, lmtest, AER,
        future, splines, glmnet, grf, DoubleML, mlr3, mlr3learners,
        data.table, paradox, parallelly, cli, progressr
Suggests: mlr3tuning, nnet, mlr3extralearners, lightgbm, xgboost,
        ranger, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>
Depends: R (>= 3.5.0)
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://xuyiqing.r-universe.dev
Date/Publication: 2026-09-21 07:17:50 UTC
RemoteUrl: https://github.com/xuyiqing/interflex
RemoteRef: HEAD
RemoteSha: 6e79e4fc9db68c826c4e4f98a4e5c56888bd8fe9
Packaged: 2026-10-21 10:33:44 UTC; root
Author: Yiqing Xu [aut, cre],
  Jens Hainmueller [aut],
  Jonathan Mummolo [aut],
  Tianzhu Qin [aut],
  Jiehan Liu [aut],
  Ziyi Liu [aut]