HDIofMCMC               Compute Highest-Density Interval
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-package        Hierarchical Bayesian Modeling of
                        Decision-Making Tasks
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
