Bayesian affect control theory in R

bayesactR provides utilities that allow R users to run simulations using the Bayesian version of affect control theory developed by Dr. Jesse Hoey and colleagues. The package serves as a wrapper to Hoey’s C implementation and makes it possible to set up and run BayesACT simulations entirely from within R.

The goals of bayesactR are:

  1. To make BayesACT more accessible to social scientists who prefer R-based rather than command-line-based workflows
  2. To make setting up and running multiple simulations at one time simpler.
  3. To facilitate creating analytic workflows that are easily reproducible.

bayesactR is publicly available. Please see the package documentation for more information.