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estimate RL params

Functions for simulating a reinforcement learning model in a restless bandit task and estimating its parameters with a variety of methods.

Both R code and Matlab code simulate the same task and estimate the generative parameters with Maximum Likelihood, or Maximum A Posteriori. R code additionally can estimate with Markov Chain Monte Carlo (requires stan). R code also fits lag-1 single and multilevel logistic regression models.

for details:

  • R: see Rcode/fitData.R
  • Matlab: see matlab/recoverParams.m
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