Function reference • drjacoby

All functions
`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_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

Reference