Simulation and Likelihood Tools for Evidence-Accumulation Models

Documentation for package ‘AccumulatR’ version 1.0.0

AccumulatR-package	AccumulatR: Simulate and fit evidence-accumulation models
AccumulatR	AccumulatR: Simulate and fit evidence-accumulation models
add_accumulator	Add an accumulator to a model
add_component	Define a mixture component
add_outcome	Define an observed response
add_pool	Pool several accumulators under a shared label
add_trigger	Add a shared absence trigger
after	Start one accumulator after another process finishes
all_of	Define a response that requires several processes to finish
build_outcome_expr	Build a response rule from a quoted expression
build_param_matrix	Create trial-level parameter values
complexity_metrics	Inspect the size of a compiled likelihood plan
finalize_model	Finalize a model for simulation and fitting
first_of	Define a response that occurs when the first listed process finishes
inhibit	Define a response that is blocked by another process
log_likelihood	Evaluate log-likelihoods of behavioral data
make_context	Build a compiled likelihood context from a model
none_of	Define the absence of an event
par_names	List the parameter names used by a model
plot_accumulators	Plot accumulators and their timing relations
prepare_data	Prepare behavioral data for likelihood evaluation
processing_tree	Draw a processing tree for the responses in a model
race_spec	Start a race-model specification
response_probabilities	Evaluate marginal response probabilities
set_mixture	Control how mixture components are combined
set_parameters	Control parameter grouping and names
simulate	Simulate behavioral data from a model