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EMJMCMC  

Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox
View on CRAN: Click here


Download and install EMJMCMC package within the R console
Install from CRAN:
install.packages("EMJMCMC")

Install from Github:
library("remotes")
install_github("cran/EMJMCMC")

Install by package version:
library("remotes")
install_version("EMJMCMC", "1.5.0")



Attach the package and use:
library("EMJMCMC")
Maintained by
Waldir Leoncio
[Scholar Profile | Author Map]
First Published: 2024-05-03
Latest Update: 2024-05-03
Description:
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.
How to cite:
Waldir Leoncio (2024). EMJMCMC: Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox. R package version 1.5.0, https://cran.r-project.org/web/packages/EMJMCMC. Accessed 03 May. 2025.
Previous versions and publish date:
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Complete documentation for EMJMCMC
Functions, R codes and Examples using the EMJMCMC R package
Full EMJMCMC package functions and examples
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