Parameter Estimation for the Averaging Model of Information Integration Theory

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Documentation for package ‘rAverage’ version 0.5-8

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AIC Information Criteria for averaging models
AIC-method Information Criteria for averaging models
BIC Information Criteria for averaging models
BIC-method Information Criteria for averaging models
coef Extract coefficients from an averaging model
coef-method Extract coefficients from an averaging model
datgen Generating Noisy Responses for an Averaging Model
fitted Extract fitted values from an averaging model
fitted-method Extract fitted values from an averaging model
fmdata1 rAverage dataset examples
fmdata2 rAverage dataset examples
fmdata3 rAverage dataset examples
indices-class Analyzing the Family of the Averaging Models
outlier.replace Outlier detection and substitution
pargen Generating random parameters for averaging responses
pasta Pasta experiment
rav Analyzing the Family of the Averaging Models
rav-class Analyzing the Family of the Averaging Models
rav.grid Generating an empty dataset in 'rav' format
rav.indices Fit indices for averaging models
rav.single Single subject analysis with averaging models
rav2file Export 'rav' results
rAverage Parameter estimation for the averaging model of Information Integration Theory
residuals Extract residuals from an averaging model
residuals-method Extract residuals from an averaging model
show-method Analyzing the Family of the Averaging Models
summary-method Analyzing the Family of the Averaging Models