Provides functions for (1) simulating a two-choice decision dataset based on the Q-learning model, (2) visualizing behavior of a particular simulated individual, and (3) estimating behavior - the learning rate (alpha) and choice randomness (beta) - from the simulated dataset using three parameter estimation techniques: Maximum-Likelihood Estimation (MLE), Maximum A Posteriori (MAP), and Expectation-Maximization with Laplace approximation (EML).
Package details |
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Maintainer | Praveen Suthaharan <praveen.suthaharan@yale.edu> |
License | GPL-3 |
Version | 0.0.0.9000 |
URL | https://github.com/psuthaharan/twochoiceRL |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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