rAverage (version 0.5-8)

Parameter Estimation for the Averaging Model of Information Integration Theory

Description

Implementation of the R-Average method for parameter estimation of averaging models of the Anderson's Information Integration Theory by Vidotto, G., Massidda, D., & Noventa, S. (2010) .

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Version

Install

install.packages('rAverage')

Monthly Downloads

171

Version

0.5-8

License

GPL (>= 2)

Maintainer

Davide Massidda

Last Published

July 29th, 2017

Functions in rAverage (0.5-8)

rAverage

Parameter estimation for the averaging model of Information Integration Theory

rav

Analyzing the Family of the Averaging Models

datgen

Generating Noisy Responses for an Averaging Model

fitted

Extract fitted values from an averaging model

pargen

Generating random parameters for averaging responses

rav.grid

Generating an empty dataset in rav format

rav.indices

Fit indices for averaging models

pasta

Pasta experiment

residuals

Extract residuals from an averaging model

fmdata1

rAverage dataset examples

outlier.replace

Outlier detection and substitution

rav.single

Single subject analysis with averaging models

rav2file

Export rav results

AIC

Information Criteria for averaging models

coef

Extract coefficients from an averaging model