Reverse-Correlation Image-Classification Toolbox
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘rcicr’ version 0.3.4.1
Help Pages
| rcicr-package | Reverse-Correlation Image-Classification Toolbox |
| autoscale | Determines optimal scaling constant for a list of ci's |
| 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 |
| 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 |
| generateSinusoid | Generate single sinusoid patch |
| generateStimuli2IFC | Generates 2IFC stimuli |
| rcicr | Reverse-Correlation Image-Classification Toolbox |
| simulateNoiseIntensities | Simulate pixel intensity range for noise |