badlm                   Simulated Data Where Linear Models Fail
cogmod_inits            Starting values that keep the sampler out of
                        the flat regions
cogmod_priors           Priors that make a cogmod posterior proper
cogmod_stanvars         The Stan code a cogmod family needs, read off
                        the model
p_outlier               Per-trial outlier probabilities
rcogmod_betadiscrete    Discrete Beta Model
rcogmod_betagate        Beta-Gate Model
rcogmod_bisa            Shifted Birnbaum-Saunders (Fatigue Life) Model
rcogmod_choco           Choice-Confidence (CHOCO) Model
rcogmod_ddm             Drift Diffusion Model (DDM)
rcogmod_exgaussian      Ex-Gaussian Model (Classical Parameterization)
rcogmod_exwald          Shifted Ex-Wald Model
rcogmod_gamma           Shifted Gamma Model
rcogmod_geg             Generalised Ex-Gaussian (GEG) Distribution
rcogmod_invgamma        Shifted Inverse Gamma Model
rcogmod_invgaussian     Shifted Wald Model (Inverse Gaussian)
rcogmod_invweibull      Shifted Inverse Weibull Model
rcogmod_lba1            Shifted Single-Accumulator LBA Model
rcogmod_lba2            Two-Accumulator Linear Ballistic Accumulator
                        (LBA) Model
rcogmod_lnr             Log-Normal Race (LNR) Model
rcogmod_loggamma        Shifted Log-Gamma (Generalized Gamma) Model
rcogmod_lognormal       Shifted LogNormal Model
rcogmod_logstudent      Shifted Log-Student-t Model
rcogmod_logweibull      Shifted Log-Weibull Model
rcogmod_rdm             Two-Accumulator Racing Diffusion Model (RDM)
rcogmod_weibull         Shifted Weibull Model
with_outliers           Include or exclude the outlier component in
                        predictions
