Package index • demografr

Approximate Bayesian Computation

validate_abc(): Validate individual components of an ABC model

simulate_abc(): Simulate data for ABC inference using specified priors

run_abc(): Perform ABC on data generated by simulate_abc

Grid-based inference

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

ABC cross-validation and posterior checks

unpack(): Unpack demografr object into individual components of the abc package

cross_validate(): Run cross-validation routines of the abc R package

select_model(): Perform selection between different ABC models

predict(<demografr_abc.abc>): Generate summary statistics from the inferred posterior distribution of parameters

extract_prediction(): Unnest the predicted values of a given statistic from the simulated data

plot_prediction(): Plot the results of a posterior predictive check for a given summary statistic

Analysis of ABC inference results

extract_summary(): Extract table of estimated model parameters

extract_posterior(): Extract inferred posterior(s) as a standard data frame

plot_prior(): Plot prior distribution(s)

plot_posterior(): Plot posterior distribution of given parameters

plot(<demografr_abc.abc>): Plot diagnostics of posterior distribution(s)

hist(<demografr_abc.abc>): Plot histogram of posterior distribution(s)

Helper functions

summarise_data(): Apply summary statistic functions to the simulated data

simulate_model(): Simulate a single tree sequence from the given inference setup

combine_data(): Combine multiple individual ABC simulation runs into one

sample_prior(): Sample value from a given prior sampling formula object