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