Estimation, Diagnostics and Visualization of Conditional Marginal Effects R package interflex version 1.4.0 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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>. Software 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) Yiqing Xu <yiqingxu@stanford.edu> Comprehensive R Archive Network (CRAN) Yiqing Xu [aut, cre], Jens Hainmueller [aut], Jonathan Mummolo [aut], Tianzhu Qin [aut], Jiehan Liu [aut], Ziyi Liu [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=interflex/LICENSE) 2026-04-10 application/tgz https://CRAN.R-project.org/package=interflex doi:10.32614/CRAN.package.interflex