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>.
| Version: |
1.4.0 |
| Depends: |
R (≥ 3.5.0) |
| 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) |
| Published: |
2026-04-10 |
| DOI: |
10.32614/CRAN.package.interflex |
| Author: |
Yiqing Xu [aut, cre],
Jens Hainmueller [aut],
Jonathan Mummolo [aut],
Tianzhu Qin [aut],
Jiehan Liu [aut],
Ziyi Liu [aut] |
| Maintainer: |
Yiqing Xu <yiqingxu at stanford.edu> |
| BugReports: |
https://github.com/xuyiqing/interflex/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://yiqingxu.org/packages/interflex/,
https://github.com/xuyiqing/interflex |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://mlr-org.r-universe.dev |
| Materials: |
NEWS |
| In views: |
CausalInference |
| CRAN checks: |
interflex results |