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grt (version 0.1-1)

General Recognition Theory

Description

Functions to generate and analyze data for psychology experiments based on the General Recognition Theory.

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Install

install.packages('grt')

Monthly Downloads

168

Version

0.1-1

License

GPL (>= 2)

Maintainer

Kazunaga Matsuki

Last Published

July 29th, 2010

Functions in grt (0.1-1)

grt-package

General Recognition Theory

glcStruct

General Linear Classifier structure

grtrnorm

Sample from multiple multivariate normal distributions

gqc

General Quadratic Classifier

gaborPatch

Draw a gray-scale Gabor Patch

logLik.glc

Log-Likelihood of a 'glc' Object

ldb.p.correct

Probability of correct classification based on the optimal linear decision bound.

subjdemo_2d

Sample dataset of a categorization experiment with 2D stimuli.

coef.glc

Extract glc coefficients

glc

General Linear Classifier

plot.glc

Plot Method for Class 'glc'

old2new_par

Convert 'old' to 'new' glcStruct format

logLik.glcStruct

Log-Likelihood of a 'glcStruct' Object

plot3d.glc

plot3d Method for Class 'glc'

ldb

Linear Decision Bound

subjdemo_1d

Sample dataset of a categorization experiment with 1D stimuli.

gqcStruct

General Quadratic Classifier structure.

new2old_par

Convert 'new' to 'old' glcStruct format

grg

General Random Guessing model

logLik.gqc

Log-Likelihood of a 'gqc' Object

plot3d.gqc

plot3d Method for Class 'gqc'

lines.gqcStruct

lines Method for class 'gqc'

predict.glc

predict method for General Linear Classifier

logLik.gqcStruct

Log-Likelihood of a 'gqcStruct' Object

mcovs

Calculate sample means and covariance(s) of multivariate data

qdb.p.correct

the proportion correct of the quadratic decision boundary.

dprime

Calculate d' (d-prime)

grtMeans

Obtain means of two multivariate normal populations satistying certain criteria

scale

Scale method for the class 'glc' and 'gqc'

extractAIC

extractAIC method for class 'glc' and 'gqc'

unscale

Un-scale or re-center the scaled or centered Matrix-like object

qdb

Quadratic Decision Bound

plot.gqc

plot Method for Class 'gqc'

subjdemo_3d

Sample dataset of a categorization experiment with 3D stimuli.