Mason_2024_G1           Group 1 from Mason et al. (2024)
Mason_2024_G2           Group 2 from Mason et al. (2024)
RSTD                    Model: RSTD
TD                      Model: TD
Utility                 Model: Utility
fit_p                   Step 3: Optimizing parameters to fit real data
func_epsilon            Function: Epsilon Related
func_eta                Function: Learning Rate
func_gamma              Function: Utility Function
func_logl               Function: Loss Function
func_pi                 Function: Upper-Confidence-Bound
func_tau                Function: Soft-Max Function
optimize_para           Process: Optimizing Parameters
rcv_d                   Step 2: Generating fake data for parameter and
                        model recovery
recovery_data           Process: Recovering Fake Data
rpl_e                   Step 4: Replaying the experiment with optimal
                        parameters
run_m                   Step 1: Building reinforcement learning model
simulate_list           Process: Simulating Fake Data
summary.binaryRL        S3method summary
