| Fernández-i-Marín, Xavier (2016): ggmcmc. Analysis of MCMC Samples and Bayesian Inference. In: Journal of Statistical Software, Vol. 70, No. 9: pp. 1-20 |
Full text not available from 'Open Access LMU'.
External fulltext: https://www.jstatsoft.org/index.php/jss/article/view/v070i09/v70i09.pdf
Abstract
ggmcmc is an R package for analyzing Markov chain Monte Carlo simulations from Bayesian inference. By using a well known example of hierarchical/multilevel modeling, the article reviews the potential uses and options of the package, ranging from classical convergence tests to caterpillar plots or posterior predictive checks.
| Item Type: | Journal article |
|---|---|
| Keywords: | ggmcmc; MCMC; Bayesian inference |
| Faculties: | Social Sciences > Geschwister-Scholl-Institute for Political Science |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science 300 Social sciences > 310 Statistics |
| ISSN: | 1548-7660 |
| Language: | English |
| ID Code: | 49262 |
| Deposited On: | 17. May 2018 12:58 |
| Last Modified: | 04. Nov 2020 13:27 |
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