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interflex: Estimation, Diagnostics and Visualization of Conditional Marginal Effects
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>.
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Package details |
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| Author | Yiqing Xu [aut, cre], Jens Hainmueller [aut], Jonathan Mummolo [aut], Tianzhu Qin [aut], Jiehan Liu [aut], Ziyi Liu [aut] |
| Maintainer | Yiqing Xu <yiqingxu@stanford.edu> |
| License | MIT + file LICENSE |
| Version | 1.4.0 |
| URL | https://yiqingxu.org/packages/interflex/ https://github.com/xuyiqing/interflex |
| Package repository | View on CRAN |
| Installation |
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