AccumulatR: Simulate and fit evidence-accumulation models

Details

AccumulatR is for researchers who work with response-time models in which behavior is generated by competing or interacting accumulators. The package lets you describe a model in psychologically meaningful terms, simulate behavioral data, and evaluate likelihoods for fitting.

The main workflow is:

1. Start with race_spec().

2. Add accumulators, pools, outcomes, and timing relations.

3. Call finalize_model() and supply values with build_param_matrix().

4. Generate observations with simulate(), or use experimental data.

5. Call prepare_data() and make_context(), then evaluate candidate parameters with log_likelihood().

See vignette("getting_started", package = "AccumulatR") for a worked example.

See also

Useful links:

• https://github.com/niekstevenson/AccumulatR

• https://niekstevenson.github.io/AccumulatR/

• Report bugs at https://github.com/niekstevenson/AccumulatR/issues

Author

Maintainer: Niek Stevenson niek.stevenson@gmail.com