Fitting Models to Data

Model-Fitting Methods in Fitr

Fitr implements several model-fitting methods:

Method	Function	Reference
EM with Laplace Approximation	fitr.EM()	[Huys2011]
Empirical Priors	fitr.EmpiricalPriors()	[Gershman2016]
Markov Chain Monte-Carlo (Stan)	fitr.MCMC()	[StanDevs]

Here, “EM” refers to Expectation-Maximization.

References

[Gershman2016]

Gershman, S.J. (2016) Empirical priors for reinforcement learning models. J. Math. Psychol. 71, 1–6

[Huys2011]

Huys, Q. J. M., et al. (2011). Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding. PLoS Computational Biology, 7(4).

[StanDevs]

Stan Development Team. 2016. PyStan: the Python interface to Stan, Version 2.14.0.0. http://mc-stan.org