Parameter Estimation for the Averaging Model of Information Integration Theory

Documentation for package ‘rAverage’ version 0.5-8

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