EMJMCMC
1.5.0Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox
Overview
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.
Install
Health
- OK2026-03-3014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1013 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 5%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.5.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2024-05-03
- Total releases
- 1 / 2 yrs
- License
- GPL
- Minimum R
- ≥ 3.4.1
- Download size
- 130 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet