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.
| 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 |
| 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 |
Documentation:
Downloads:
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