Why ggmcmc? | Importing MCMC samples into ggmcmc using ggs() | Using ggmcmc() | Using individual functions | Histograms | Density plots | Traceplots | Running means | Comparison of the whole chain with the latest part | Autocorrelation plots | Crosscorrelation plot | Potential Scale Reduction Factor | Geweke Diagnostics | Select a family of parametrs | Change parameter labels | Caterpillar plots | Posterior predictive checks and model fit | Continuous outcomes | Binary outcomes | Percent of correctly predicted | Paired plots | Greek letters | Aesthetic variations | Combination with the power of ggplot2 | Development | Acknowledgements | References

Why PolicyPortfolios? | Input Data | Structure and characteristics | Prepare a dataset with a portfolio structure | Analyze policy portfolios | Summarize portfolios | Visual display of portfolios | Other possibilities | Final remarks | Development | References

Introduction | Why ggmcmc | Get samples from Gelman and Hill radon example | Importing MCMC samples into ggmcmc using ggs() | Using ggmcmc() | Using individual functions | Beyond basic options | Caterpillar plots | Posterior predictive checks and model fit | Using ggplot2 with ggmcmc | Concluding remarks