Man pages for stnava/RKRNS
ANTsR Decoding

annotateEventsWill match eigensentences to events and given unique labels...
assembleBlocksassemble image blocks of bold
assembleDesignSimple assembleDesigning function.
assembleSessionBlockscompute betas from image blocks of bold
bold2betasConvert a bold time series and design matrix to event-wise...
bold2betasCCAConvert a bold time series and design matrix to event-wise...
bold2betasfromResidualsConvert a bold time series and design matrix to event-wise...
classificationNetworkVisualize a (mis)classification network.
eigenSentencesSimple eigenSentence estimation function.
filterfMRI4KRNSFiltering options specific to KRNS
finiteImpulseResponseDesignMatrixSimple finiteImpulseResponseDesignMatrix function.
glmDenoiseROptimize a regression model for BOLD based on cross-validated...
randomClassificationRatesamples an array of labels nperm times to estimate the random...
RKRNS-packageResearch on decoding sentences from BOLD data
rkrnsRankeruse random forest or svm to predict and rank sentences from...
sccanBasedDecoderSimple eigenSentence estimation function.
showMemoryUsegets all obejcts with their sizes shamelessly copied from...
simulateBOLDsimulated bold study with controllable design and noise...
spatioTemporalProjectionImageProjects a 4D image to a 3D and 1D image (ND to 1 and D minus...
stableEventResponseEstimate effect sizes per-voxel, per stimulus,...
templateBasedClassificationUse an expected function shape to classify new instances
stnava/RKRNS documentation built on Aug. 26, 2017, 9:55 a.m.