ssMousetrack: Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan

The ssMousetrack package allows analysing mouse-tracking experiments via Bayesian state-space modeling. The package estimates the model using Markov Chain Monte Carlo, variational approximations to the posterior distribution, or optimization, as implemented in the rstan package. The user can use the customary R modeling syntax to define equations of the model and Stan syntax to specify priors over the model parameters.