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grt (version 0.1-2)
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
206
Version
0.1-2
License
GPL (>= 2)
Maintainer
Kazunaga Matsuki
Last Published
January 20th, 2011
Functions in grt (0.1-2)
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grtMeans
Obtain means of two multivariate normal populations satisfying certain criteria
ldb.p.correct
Probability of correct classification based on the optimal linear decision bound.
qdb
Quadratic Decision Bound
ldb
Linear Decision Bound
plot3d.glc
plot3d Method for Class 'glc'
subjdemo_3d
Sample dataset of a categorization experiment with 3D stimuli.
plot3d.gqc
plot3d Method for Class 'gqc'
gqcStruct
General Quadratic Classifier structure.
logLik.gqc
Log-Likelihood of a 'gqc' Object
plot.glc
Plot Method for Class 'glc'
logLik.glcStruct
Log-Likelihood of a 'glcStruct' Object
logLik.gqcStruct
Log-Likelihood of a 'gqcStruct' Object
plot.gqc
plot Method for Class 'gqc'
unscale
Un-scale or re-center the scaled or centered Matrix-like object
qdb.p.correct
the proportion correct of the quadratic decision boundary.
new2old_par
Convert 'new' to 'old' glcStruct format
gaborPatch
Draw a gray-scale Gabor Patch
coef.glc
Extract glc coefficients
dprime
Calculate d' (d-prime)
logLik.glc
Log-Likelihood of a 'glc' Object
grt-package
General Recognition Theory
subjdemo_2d
Sample dataset of a categorization experiment with 2D stimuli.
mcovs
Calculate sample means and covariance(s) of multivariate data
glc
General Linear Classifier
predict.glc
predict method for General Linear Classifier
grtrnorm
Sample from multiple multivariate normal distributions
grg
General Random Guessing model
old2new_par
Convert 'old' to 'new' glcStruct format
glcStruct
General Linear Classifier structure
subjdemo_1d
Sample dataset of a categorization experiment with 1D stimuli.
lines.gqcStruct
lines Method for class 'gqc'
extractAIC
extractAIC method for class 'glc', 'gqc', and 'grg'
gqc
General Quadratic Classifier
scale
Scale method for the class 'glc' and 'gqc'