EMJMCMC

Implementation of the Mode Jumping Markov Chain Monte Carlo algorithm from Hubin, A., Storvik, G. (2018) doi:10.1016/j.csda.2018.05.020, Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Storvik, G., & Frommlet, F. (2020) doi:10.1214/18-BA1141, Hubin, A., Storvik, G., & Frommlet, F. (2021) doi:10.1613/jair.1.13047, and Hubin, A., Heinze, G., & De Bin, R. (2023) doi:10.3390/fractalfract7090641, and Reversible Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Frommlet, F., & Storvik, G. (2021) doi:10.48550/arXiv.2110.05316, which allow for estimating posterior model probabilities and Bayesian model averaging across a wide set of Bayesian models including linear, generalized linear, generalized linear mixed, generalized nonlinear, generalized nonlinear mixed, and logic regression models.

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