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()` to prepare the model for simulation and fitting. 4. Use `simulate()`, `prepare_data()`, `make_context()`, and `log_likelihood()`.

The R interface is intended to stay readable and model-focused, while the repeated numerical work happens in C++.

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