Package index • demografr

Approximate Bayesian Computation

validate_abc(): Validate individual components of an ABC model
simulate_abc(): Simulate data for downstream ABC posterior inference by sampling from priors
run_abc(): Perform ABC on data generated by simulate_abc

simulate_grid(): Simulate values of summary statistics across a parameter grid

unpack(): Unpack demografr object into individual components of the abc package
cross_validate(): Run cross-validation routines of the R package abc
select_model(): Perform selection between different ABC models
predict(<demografr_abc.abc>): Simulate given summary statistics from the inferred parameter model posteriors
extract_prediction(): Unnest the predicted values of a given statistic from the simulated data
plot_prediction(): Plot the result of a posterior predictive check for a given summary statistic

extract_summary(): Extract estimated model parameters in a tabular format
extract_posterior(): Extract inferred posteriors in a tabular format
plot_prior(): Plot prior distributions of model parameters
plot_posterior(): Plot posterior distributions of given parameters
plot(<demografr_abc.abc>): Plot various diagnostics of posterior distributions
hist(<demografr_abc.abc>): Plot histogram of posterior distributions

summarise_data(): Apply summary statistic functions to the simulated data
simulate_model(): Simulate data (by default, a tree sequence) from a model (by default, a slendr function)
combine_data(): Combine multiple individual ABC simulation runs into one
sample_prior(): Sample value from a given prior sampling formula object