EMJMCMC: Evolutionary Mode Jumping Markov Chain Monte Carlo ExpertToolbox
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.
| Version: | 1.5.0 |
| Depends: | R (≥ 3.4.1),bigmemory |
| Imports: | glmnet,biglm,hash,BAS,stringi, parallel, methods,speedglm, stats,withr |
| Suggests: | testthat (≥ 3.0.0),bindata,clusterGeneration,reshape2 |
| Published: | 2024-05-03 |
| DOI: | 10.32614/CRAN.package.EMJMCMC |
| Author: | Aliaksandr Hubin [aut], Waldir Leoncio [cre, aut], Geir Storvik [ctb], Florian Frommlet [ctb] |
| Maintainer: | Waldir Leoncio <w.l.netto at medisin.uio.no> |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | EMJMCMC results |
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