Reverse-Correlation Image-Classification Toolbox
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Documentation for package ‘rcicr’ version 1.3.0
Help Pages
| autoscale | Determines optimal scaling constant for a list of CIs |
| batchGenerateCI | Generates multiple classification images by participant or condition |
| batchGenerateCI2IFC | Generates multiple 2IFC classification images by participant or condition |
| computeCumulativeCICorrelation | Computes cumulative trial CIs correlations with final/target CI |
| computeInfoVal2IFC | Computes Informational Value |
| deg2rad | Convert angle in degrees to radians |
| generateCI | Generates classification image |
| generateCI2IFC | Generates 2IFC classification image |
| generateCINoise | Generate classification image noise pattern based on set of stimuli (matrix: trials, parameters), responses (vector), and sinusoid |
| generateGabor | Generate single gabor patch |
| generateNoiseImage | Generate single noise image based on parameter vector |
| generateNoisePattern | Generate sinusoid noise pattern |
| generateReferenceDistribution2IFC | Generates reference distribution |
| generateSinusoid | Generate single sinusoid patch |
| generateStimuli2IFC | Generates 2IFC stimuli |
| plotZmap | Plots a Z-map |
| simulateNoiseIntensities | Simulate pixel intensity range for noise |