R: Parameter Estimation for the Averaging Model of Information Integration Theory

# Parameter Estimation for the Averaging Model of Information Integration Theory

## Documentation for package ‘rAverage’ version 0.5-8

- DESCRIPTION file

## Help Pages

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