Man pages for mrc-ide/drjacoby
Flexible Markov Chain Monte Carlo via Reparameterization
| acf_data | Estimate autocorrelation |
| check_drjacoby_loaded | Check that drjacoby package has loaded successfully |
| cpp_template | Create template for cpp |
| define_params | Define parameters dataframe |
| drjacoby | Flexible Markov Chain Monte Carlo via Reparameterization |
| gelman_rubin | Gelman-Rubin statistic |
| plot_autocorrelation | Plot autocorrelation |
| plot_cor_mat | Plot posterior correlation matrix |
| plot_credible | Plot 95% credible intervals |
| plot_density | Produce density plots |
| plot_mc_acceptance | Plot Metropolis coupling acceptance rates |
| plot_pairs | Produce scatterplots between multiple parameters |
| plot_rung_loglike | Plot loglikelihood 95% credible intervals |
| plot_scatter | Produce bivariate scatterplot |
| plot_trace | Plot parameter trace |
| population_data | Population data. |
| run_mcmc | Run drjacoby MCMC |
| sample_chains | Sample posterior draws from all available chains |
