https://weichangyu10.r-universe.devRecent package updates in weichangyu10R-universehttps://github.com/weichangyu10.pnghttps://weichangyu10.r-universe.devMon, 01 Dec 2025 11:51:43 GMTweichang.yu@unimelb.edu.au (Weichang Yu)Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) <doi:10.1093/jrsssb/qkad016> Uses backward induction and dynamic programming theory for computing expected values. Offers options for future parallel computing.https://github.com/r-universe/jlimrasc/actions/runs/37751103268Mon, 01 Dec 2025 11:51:43 GMTBayesRegDTR1.1.2successhttps://jlimrasc.r-universe.devhttps://github.com/jlimrasc/bayesregdtrweichang.yu@unimelb.edu.au (Weichang Yu)Computes the Gaussian variational approximation of the Bayesian empirical likelihood posterior. This is an implementation of the function found in Yu, W., & Bondell, H. D. (2023) <doi:10.1080/01621459.2023.2169701>.https://github.com/r-universe/jlimrasc/actions/runs/39224329478Mon, 01 Dec 2025 11:49:31 GMTVBel1.1.7successhttps://jlimrasc.r-universe.devhttps://github.com/jlimrasc/vbel