ggmcmc: Analysis of MCMC Samples and Bayesian Inference
View Researcher's Other CodesDisclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
Authors | Xavier Fernández-i-Marín |
Journal/Conference Name | Journal of Statistical Software |
Paper Category | Other |
Paper 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. |
Date of publication | 2016 |
Code Programming Language | R |
Comment |