psuthaharan/bandit2arm: Modeling Behavior from the Two-Armed Bandit Task
Provides functions for (1) simulating a two-armed bandit dataset based on the Q-learning model and (2) 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).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Praveen Suthaharan |
| Maintainer | Praveen Suthaharan <praveen.suthaharan@yale.edu> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/psuthaharan/bandit2arm |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
