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.

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

Antonio Calcagnì
;
Massimiliano Pastore
2019

Abstract

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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3286222
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact