EMJMCMC
Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.5.0 |
rolling source/ R- | EMJMCMC_1.5.0.tar.gz |
129.5 KiB |
1.5.0 |
latest source/ R- | EMJMCMC_1.5.0.tar.gz |
129.5 KiB |
1.5.0 |
2026-04-09 windows/windows R-4.5 | EMJMCMC_1.5.0.zip |
363.9 KiB |