Man pages for stnava/RKRNS
ANTsR Decoding
| annotateEvents | Will match eigensentences to events and given unique labels... |
| assembleBlocks | assemble image blocks of bold |
| assembleDesign | Simple assembleDesigning function. |
| assembleSessionBlocks | compute betas from image blocks of bold |
| bold2betas | Convert a bold time series and design matrix to event-wise... |
| bold2betasCCA | Convert a bold time series and design matrix to event-wise... |
| bold2betasfromResiduals | Convert a bold time series and design matrix to event-wise... |
| classificationNetwork | Visualize a (mis)classification network. |
| eigenSentences | Simple eigenSentence estimation function. |
| filterfMRI4KRNS | Filtering options specific to KRNS |
| finiteImpulseResponseDesignMatrix | Simple finiteImpulseResponseDesignMatrix function. |
| glmDenoiseR | Optimize a regression model for BOLD based on cross-validated... |
| randomClassificationRate | samples an array of labels nperm times to estimate the random... |
| RKRNS-package | Research on decoding sentences from BOLD data |
| rkrnsRanker | use random forest or svm to predict and rank sentences from... |
| sccanBasedDecoder | Simple eigenSentence estimation function. |
| showMemoryUse | gets all obejcts with their sizes shamelessly copied from... |
| simulateBOLD | simulated bold study with controllable design and noise... |
| spatioTemporalProjectionImage | Projects a 4D image to a 3D and 1D image (ND to 1 and D minus... |
| stableEventResponse | Estimate effect sizes per-voxel, per stimulus,... |
| templateBasedClassification | Use an expected function shape to classify new instances |
