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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 |
Reference manual: | EMJMCMC.pdf |
Package source: | EMJMCMC_1.5.0.tar.gz |
Windows binaries: | r-devel: EMJMCMC_1.5.0.zip, r-release: EMJMCMC_1.5.0.zip, r-oldrel: EMJMCMC_1.5.0.zip |
macOS binaries: | r-release (arm64): EMJMCMC_1.5.0.tgz, r-oldrel (arm64): EMJMCMC_1.5.0.tgz, r-release (x86_64): EMJMCMC_1.5.0.tgz, r-oldrel (x86_64): EMJMCMC_1.5.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=EMJMCMC to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.