Dstats.ddm              Calculate Dstats of DDM Density
acf.dmc                 Plot an Autocorrelation Matrix
censor                  Censor missing values and RT outliers
data.model.dmc          Bind Data and Models
ddmc                    Compute Probability Density of Drift-Diffusion
                        Model
density.dmc             Calculate Probability Density for an
                        Experimental Condition
dprior                  Calculate Prior Probability Density for an EAM
dtnorm                  Truncated Normal Distribution
effectiveSize.dmc       Effective Sample Size for Estimating the Mean
fac2df                  Convert factor levels to a data frame
g_minus                 Calculate Drift-diffusion Probability Density
gelman.diag.dmc         Gelman and Rubin Convergence Diagnostic
getAccumulatorMatrix    Map a parameter vector to an accumulator matrix
get_os                  get_os Function
ggdmc                   Supersonic DMC
h.run.dmc               Fit an EAM with Multiple Participants
h.samples.dmc           Set up a DMC Sample with Multiple Participants
h.simulate.dmc          Simulate Choice-RT Data for Multiple
                        Participants
initialise_data         Set up a DMC Sample for a Participant
initialise_hyper        Set up a DMC Sample for Multiple Participants
likelihood              Calculate Log-Likelihood
mcmc.list.dmc           Create a mcmc.list in DMC format
model.dmc               Creating a Model Object
p.df.dmc                Gets Parameter Data Frame
pairs.dmc               Create a Plot Matrix of Posterior Simulations
phi.as.mcmc.list        Convert Phi to a Theta Vector
pick.stuck.dmc          Find Stuck Chains
plot.dmc                Plot DMC Samples
plot.dmc.list           Plot a DMC Sample with Multiple Participants
plot.hyper              Plot DMC Samples at the Hyper level
plot.pp.ggdmc           Posterior Predictive Plot
plot_cell_density       Plot Distributions for Each Cell
plot_dist               Plot Cell Density
plot_prior              Plot Prior Probability Density
plot_priors             Plot Prior Probability Density
post.predict.ggdmc      Simulate Post-predictive Sample
print_cell_p            Print accumulator x internal parameter type
                        matrix for each cell
prior.p.dmc             Makes a list of prior distribution parameters.
profile.dmc             Profile a DMC Object
rprior                  Generate Random Numbers from Prior Probability
                        Distribution
run.dmc                 run function
run_data                Run a Bayesian EAM Model for Fixed-effect or
                        Random-effect
samples.dmc             Initialising a DMC samples
simulate.dmc            Simulate Responses from an EAM
summary.dmc             Summarise a DMC Sample with One Participant
summary.dmc.list        Summarise a DMC Sample with Multiple
                        Participants
summary.hyper           Summarise a DMC Sample with Multiple
                        Participant at the Hyper-level
summed_log_likelihood   Sum and Log Probability Density of a EAM model
summed_log_prior        Sum and Log Prior Density of a EAM model
theta.as.mcmc.list      Convert Theta to a mcmc List
transform               Transform Parameter Data Frame
view                    Inspect Prior Distribution Settings
