# Hierarchical Bayesian Modeling of Decision-Making Tasks

## Documentation for package ‘hBayesDM’ version 0.7.2

- DESCRIPTION file.

## Help Pages

hBayesDM-package | Hierarchical Bayesian Modeling of Decision-Making Tasks
bandit2arm_delta | 2-Armed Bandit Task (Erev et al., 2010; Hertwig et al., 2004)
bandit4arm2_kalman_filter | 4-Armed Bandit Task (modified)
bandit4arm_2par_lapse | 4-Armed Bandit Task
bandit4arm_4par | 4-Armed Bandit Task
bandit4arm_lapse | 4-Armed Bandit Task
bandit4arm_lapse_decay | 4-Armed Bandit Task
bandit4arm_singleA_lapse | 4-Armed Bandit Task
bart_par4 | Balloon Analogue Risk Task (Ravenzwaaij et al., 2011)
choiceRT_ddm | Choice Reaction Time Task
choiceRT_ddm_single | Choice Reaction Time Task
choiceRT_lba | Choice Reaction Time task, linear ballistic accumulator modeling
choiceRT_lba_single | Choice Reaction Time task, linear ballistic accumulator modeling
cra_exp | Choice Under Risk and Ambiguity Task
cra_linear | Choice Under Risk and Ambiguity Task
dbdm_prob_weight | Description Based Decison Making Task
dd_cs | Delay Discounting Task
dd_cs_single | Delay Discounting Task
dd_exp | Delay Discounting Task
dd_hyperbolic | Delay Discounting Task
dd_hyperbolic_single | Delay Discounting Task
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_orl | Iowa Gambling Task
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)
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 or WAIC values in addition to Akaike weights) of hBayesDM Models
prl_ewa | Probabilistic Reversal Learning Task
prl_fictitious | Probabilistic Reversal Learning Task
prl_fictitious_multipleB | Probabilistic Reversal Learning Task
prl_fictitious_rp | Probabilistic Reversal Learning Task
prl_fictitious_rp_woa | Probabilistic Reversal Learning Task
prl_fictitious_woa | Probabilistic Reversal Learning Task
prl_rp | Probabilistic Reversal Learning Task
prl_rp_multipleB | Probabilistic Reversal Learning Task
pst_gainloss_Q | Probabilistic Selection Task
ra_noLA | Risk Aversion Task
ra_noRA | Risk Aversion Task
ra_prospect | Risk Aversion Task
rdt_happiness | Risky Decision Task
rhat | Function for extracting Rhat values from an hBayesDM object
ts_par4 | Two-Step Task (Daw et al., 2011)
ts_par6 | Two-Step Task (Daw et al., 2011)
ts_par7 | Two-Step Task (Daw et al., 2011)
ug_bayes | Norm-Training Ultimatum Game
ug_delta | Norm-Training Ultimatum Game
wcs_sql | Wisconsin Card Sorting Task