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| hBayesDM-package | Hierarchical Bayesian Modeling of Decision-Making Tasks |
| bandit2arm_delta | Two-Arm Bandit Task |
| bandit4arm_4par | 4-armed bandit task |
| bandit4arm_lapse | 4-armed bandit task |
| choiceRT_ddm | Choice Reaction Time task, drift diffusion modeling |
| choiceRT_ddm_single | Choice Reaction Time task, drift diffusion modeling |
| choiceRT_lba | Choice Reaction Time task, linear ballistic accumulator modeling |
| choiceRT_lba_single | Choice Reaction Time task, linear ballistic accumulator modeling |
| dd_cs | Delay Discounting Task |
| dd_cs_single | Delay Discounting Task (Ebert & Prelec, 2007) |
| dd_exp | Delay Discounting Task |
| dd_hyperbolic | Delay Discounting Task |
| dd_hyperbolic_single | Delay Discounting Task (Ebert & Prelec, 2007) |
| estimate_mode | Function to estimate mode of MCMC samples |
| extract_ic | Extract Model Comparison Estimates |
| gng_m1 | Orthogonalized Go/Nogo Task |
| gng_m2 | Orthogonalized Go/Nogo Task |
| gng_m3 | Orthogonalized Go/Nogo Task |
| gng_m4 | Orthogonalized Go/Nogo Task |
| hBayesDM | Hierarchical Bayesian Modeling of Decision-Making Tasks |
| HDIofMCMC | Compute Highest-Density Interval |
| igt_pvl_decay | Iowa Gambling Task |
| igt_pvl_delta | Iowa Gambling Task (Ahn et al., 2008) |
| igt_vpp | Iowa Gambling Task |
| multiplot | Function to plot multiple figures |
| peer_ocu | Peer influence task (Chung et al., 2015 Nature Neuroscience) |
| plot.hBayesDM | General Purpose Plotting for hBayesDM. This function plots hyper parameters. |
| plotDist | Plots the histogram of MCMC samples. |
| plotHDI | Plots highest density interval (HDI) from (MCMC) samples and prints HDI in the R console. HDI is indicated by a red line. |
| plotInd | Plots individual posterior distributions, using the stan_plot function of the rstan package |
| printFit | Print model-fits (mean LOOIC and WAIC values) of hBayesDM Models |
| prl_ewa | Probabilistic Reversal Learning Task |
| prl_fictitious | Probabilistic Reversal Learning Task |
| prl_fictitious_multipleB | Probabilistic Reversal Learning Task (Glascher et al, 2009), multiple blocks per subject |
| prl_fictitious_rp | Probabilistic Reversal Learning Task |
| prl_rp | Probabilistic Reversal Learning Task |
| prl_rp_multipleB | Probabilistic Reversal Learning Task, multiple blocks per subject |
| ra_noLA | Risk Aversion Task |
| ra_noRA | Risk Aversion Task |
| ra_prospect | Risk Aversion Task |
| rhat | Function for extracting Rhat values from an hBayesDM object |
| ug_bayes | Norm-Training Ultimatum Game |
| ug_delta | Norm-Training Ultimatum Game |