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grt (version 0.1.0)
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
0.1.0
License
GPL (>= 2)
Maintainer
Kazunaga Matsuki
Last Published
July 27th, 2010
Functions in grt (0.1.0)
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glcStruct
General Linear Classifier structure
scale
Scale method for the class 'glc' and 'gqc'
ldb
Linear Decision Bound
grtMeans
Obtain means of two multivariate normal populations satistying certain criteria
predict.glc
predict method for General Linear Classifier
dprime
Calculate d' (d-prime)
grt-package
General Recognition Theory
glc
General Linear Classifier
plot3d.glc
plot3d Method for Class 'glc'
gqc
General Quadratic Classifier
coef.glc
Extract glc coefficients
plot3d.gqc
plot3d Method for Class 'gqc'
subjdemo_2d
Sample dataset of a categorization experiment with 2D stimuli.
unscale
Un-scale or re-center the scaled or centered Matrix-like object
qdb.p.correct
the proportion correct of the quadratic decision boundary.
gaborPatch
Draw a gray-scale Gabor Patch
plot.glc
Plot Method for Class 'glc'
gqcStruct
General Quadratic Classifier structure.
logLik.glcStruct
Log-Likelihood of a 'glcStruct' Object
lines.gqcStruct
lines Method for class 'gqc'
new2old_par
Convert 'new' to 'old' glcStruct format
logLik.gqcStruct
Log-Likelihood of a 'gqcStruct' Object
logLik.gqc
Log-Likelihood of a 'gqc' Object
ldb.p.correct
Probability of correct classification based on the optimal linear decision bound.
grg
General Random Guessing model
subjdemo_3d
Sample dataset of a categorization experiment with 3D stimuli.
qdb
Quadratic Decision Bound
logLik.glc
Log-Likelihood of a 'glc' Object
subjdemo_1d
Sample dataset of a categorization experiment with 1D stimuli.
plot.gqc
plot Method for Class 'gqc'
old2new_par
Convert 'old' to 'new' glcStruct format
extractAIC
extractAIC method for class 'glc' and 'gqc'
mcovs
Calculate sample means and covariance(s) of multivariate data
grtrnorm
Sample from multiple multivariate normal distributions