AccumulatR-package      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
