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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
205
Version
0.1-1
License
GPL (>= 2)
Maintainer
Kazunaga Matsuki
Last Published
July 29th, 2010
Functions in grt (0.1-1)
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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.