DynTxRegime swMATH ID: 25141 Software Authors: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, A. A. Tsiatis Description: R package DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes. Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators. Homepage: https://cran.r-project.org/web/packages/DynTxRegime/index.html Source Code: https://github.com/cran/DynTxRegime Dependencies: R Related Software: R; qLearn; DTRreg; iqLearn; DTRlearn2; polle; policytree; ggplot2; SIDES; SubgrpID; FindIt; quint; EffectTreat; BayesTree; model4you; Kernlab; gbm; mgcv; survival; glmnet Cited in: 3 Publications all top 5 Cited by 12 Authors 1 Almirall, Daniel 1 Hothorn, Torsten 1 Kasari, Connie 1 Kidwell, Kelley M. 1 Moodie, Erica E. M. 1 Platt, Robert W. 1 Seewald, Nicholas J. 1 Seibold, Heidi 1 Simoneau, Gabrielle 1 Tran, Qui 1 Wallace, Michael P. 1 Zeileis, Achim Cited in 3 Serials 1 Journal of Statistical Computation and Simulation 1 Journal of Applied Statistics 1 Advances in Data Analysis and Classification. ADAC Cited in 1 Field 3 Statistics (62-XX) Citations by Year