grt-package |
General Recognition Theory |
angle2cart |
Convert 'new' to 'old' glcStruct format |
cart2angle |
Convert 'old' to 'new' glcStruct format |
coef.gcjc |
Extract 'glc' or 'gcjc' coefficients |
coef.glc |
Extract 'glc' or 'gcjc' coefficients |
coef.glcStruct |
Extract 'glc' or 'gcjc' coefficients |
dprime |
Calculate d' (d-prime) |
dprimef |
Calculate d' (d-prime) |
extractAIC.gcjc |
extractAIC method for class 'glc', 'gqc', 'gcjc', and 'grg' |
extractAIC.glc |
extractAIC method for class 'glc', 'gqc', 'gcjc', and 'grg' |
extractAIC.gqc |
extractAIC method for class 'glc', 'gqc', 'gcjc', and 'grg' |
extractAIC.grg |
extractAIC method for class 'glc', 'gqc', 'gcjc', and 'grg' |
gaborPatch |
Draw a gray-scale Gabor Patch |
gcjc |
General Conjunctive Classifier |
gcjcStruct |
General Conjunctive Classifier structure |
glc |
General Linear Classifier |
glcStruct |
General Linear Classifier structure |
gqc |
General Quadratic Classifier |
gqcStruct |
General Quadratic Classifier structure. |
grg |
General Random Guessing model |
grt |
General Recognition Theory |
grtMeans |
Obtain means of two multivariate normal populations satisfying certain criteria |
grtrnorm |
Sample from multiple multivariate normal distributions |
ldb |
Linear Decision Bound |
ldb.p.correct |
Probability of correct classification based on the optimal linear decision bound. |
lines.gqcStruct |
lines Method for class 'gqc' |
logLik.gcjc |
Log-Likelihood of a 'glc' or 'gcjc' Object |
logLik.gcjcStruct |
Log-Likelihood of a 'glcStruct' or 'gcjcStruct' Object |
logLik.glc |
Log-Likelihood of a 'glc' or 'gcjc' Object |
logLik.glcStruct |
Log-Likelihood of a 'glcStruct' or 'gcjcStruct' Object |
logLik.gqc |
Log-Likelihood of a 'gqc' Object |
logLik.gqcStruct |
Log-Likelihood of a 'gqcStruct' Object |
mcovs |
Calculate sample means and covariance(s) of multivariate data |
mcovs.default |
Calculate sample means and covariance(s) of multivariate data |
mcovs.formula |
Calculate sample means and covariance(s) of multivariate data |
new2old_par |
Convert 'new' to 'old' glcStruct format |
old2new_par |
Convert 'old' to 'new' glcStruct format |
plot.gcjc |
Plot Method for Class 'gcjc' |
plot.glc |
Plot Method for Class 'glc' |
plot.gqc |
plot Method for Class 'gqc' |
plot3d.glc |
plot3d Method for Class 'glc' |
plot3d.gqc |
plot3d Method for Class 'gqc' |
predict.glc |
predict method for General Linear Classifier |
print.gcjc |
General Conjunctive Classifier |
print.glc |
General Linear Classifier |
print.gqc |
General Quadratic Classifier |
qdb |
Quadratic Decision Bound |
qdb.p.correct |
the proportion correct of the quadratic decision boundary. |
scale |
Scale method for the class 'glc' and 'gqc' |
scale.glc |
Scale method for the class 'glc' and 'gqc' |
scale.gqc |
Scale method for the class 'glc' and 'gqc' |
subjdemo_1d |
Sample dataset of a categorization experiment with 1D stimuli. |
subjdemo_2d |
Sample dataset of a categorization experiment with 2D stimuli. |
subjdemo_3d |
Sample dataset of a categorization experiment with 3D stimuli. |
subjdemo_cj |
Sample dataset of a categorization experiment with 2D conjunctive stimuli. |
unscale |
Un-scale or re-center the scaled or centered Matrix-like object |