Fit the Meta-D' Model of Confidence Ratings Using 'brms'

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Documentation for package ‘hmetad’ version 0.1.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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add_epred_draws_metad	Obtain posterior draws of joint response probabilities
add_epred_rvars_metad	Obtain posterior draws of joint response probabilities
add_linpred_draws_metad	Obtain posterior draws of meta-d' model parameters
add_linpred_rvars_metad	Obtain posterior draws of meta-d' model parameters
add_mean_confidence_draws	Obtain posterior draws of mean confidence
add_mean_confidence_rvars	Obtain posterior draws of mean confidence
add_metacognitive_bias_draws	Obtain posterior draws of an index of metacognitive bias
add_metacognitive_bias_rvars	Obtain posterior draws of an index of metacognitive bias
add_predicted_draws_metad	Obtain posterior predictions of joint responses
add_predicted_rvars_metad	Obtain posterior predictions of joint responses
add_roc1_draws	Obtain posterior draws of the pseudo type 1 receiver operating characteristic (ROC) curve.
add_roc1_rvars	Obtain posterior draws of the pseudo type 1 receiver operating characteristic (ROC) curve.
add_roc2_draws	Obtain posterior draws of the response-specific type 2 receiver operating characteristic (ROC) curves.
add_roc2_rvars	Obtain posterior draws of the response-specific type 2 receiver operating characteristic (ROC) curves.
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
epred_rvars_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
linpred_rvars_metad	Obtain posterior draws of meta-d' model parameters
mean_confidence_draws	Obtain posterior draws of mean confidence
mean_confidence_rvars	Obtain posterior draws of mean confidence
metacognitive_bias_draws	Obtain posterior draws of an index of metacognitive bias
metacognitive_bias_rvars	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_lccdf	Normal cumulative distribution functions
normal_lcdf	Normal cumulative distribution functions
predicted_draws_metad	Obtain posterior predictions of joint responses
predicted_rvars_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.
roc1_rvars	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.
roc2_rvars	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\}
to_unsigned	Convert binary variable x between \{0, 1\} and \{-1, 1\}
type1_response	Convert between separate and joint type 1/type 2 responses
type2_response	Convert between separate and joint type 1/type 2 responses