Evidence Accumulation Models

Documentation for package ‘eam’ version 1.0.1

+.eam_summarise_by_spec	Add two summarise_by specs together
+.eam_summarise_by_tbl	Join two eam_summarise_by_tbl objects
abc_posterior_bootstrap	Bootstrap resample ABC posterior samples
abc_postpr	ABC model comparison wrapper
abc_resample	ABC with resampling
build_abc_input	Build input for Approximate Bayesian Computation (ABC)
load_simulation_output	Rebuild eam_simulation_output from an existing output directory
map_by_condition	Map a function by condition across simulation output chunks
new_simulation_config	Create a new simulation configuration
plot_accuracy	Plot accuracy comparison between posterior and observed data
plot_cv_pair_correlation	Plot CV parameter pair correlations
plot_cv_pair_correlation.cv4abc	Plot CV parameter pair correlations
plot_cv_recovery	Plot CV parameter recovery
plot_cv_recovery.cv4abc	Plot CV parameter recovery
plot_posterior_parameters	Plot parameter posterior distributions
plot_posterior_parameters.abc	Plot parameter posterior distributions
plot_resample_forest	Plot resample forest plots
plot_resample_medians	Plot resample median distributions
plot_rt	Plot reaction time distributions
print.eam_simulation_config	Print method for eam simulation configuration
run_simulation	Run a simulation with specified configuration
summarise_by	Summarise data by groups with optional pivoting
summarise_posterior_parameters	Summarise posterior parameter distributions
summarise_posterior_parameters.abc	Summarise posterior parameter distributions
summarise_resample_medians	Summarise resample medians