aggregate_metad         Aggregate 'data' by 'response', 'confidence',
                        and other columns
cor_matrix              Generate a correlation matrix with all
                        off-diagonal values equal to 'r'
cov_matrix              Generate a covariance matrix.
epred_draws_metad       Obtain posterior draws of joint response
                        probabilities
example_data            Simulated data for example model fitting
example_model           Example meta-d' model for model post-processing
fit_metad               Fit the meta-d' model using 'brms' package
joint_response          Convert between separate and joint type 1/type
                        2 responses
linpred_draws_metad     Obtain posterior draws of meta-d' model
                        parameters
mean_confidence_draws   Obtain posterior draws of mean confidence
metacognitive_bias_draws
                        Obtain posterior draws of an index of
                        metacognitive bias
metad                   'brms' family for the metad' model
metad_pmf               Generate (log) probability simplex over the
                        joint type 1/type 2 responses
normal_lcdf             Normal cumulative distribution functions
predicted_draws_metad   Obtain posterior predictions of joint responses
response_probabilities
                        Compute joint response probabilities from
                        aggregated counts
rmatrixnorm             Sample from a matrix-normal distribution
roc1_draws              Obtain posterior draws of the pseudo type 1
                        receiver operating characteristic (ROC) curve.
roc2_draws              Obtain posterior draws of the response-specific
                        type 2 receiver operating characteristic (ROC)
                        curves.
sim_metad               Simulate from the meta-d' model
sim_metad_condition     Simulate from the meta-d' model across separate
                        conditions
sim_metad_participant   Simulate from the hierarchical meta-d' model
sim_metad_participant_condition
                        Simulate from the hierarchical meta-d' model
                        across within-participant conditions
stanvars_metad          Generate Stan code for the meta-d' model
to_signed               Convert binary variable x between \{0, 1\} and
                        \{-1, 1\}
