All functions

BM()

Slow R-based Brunner-Munzel tests

BMfast()

Fast Brunner-Munzel tests (v1)

BMfast2()

Fast Brunner-Munzel tests (v2)

BMfast2_dualmatrix()

Fast Brunner-Munzel tests (v2) - dual matrix

BMperm()

Fast Brunner-Munzel tests (v2) with permutations

TTfast()

TTfast

checkAntsInput()

Determine type of variable passed by user

checkAssumptions_ttest()

Check t-test assumptions at each voxel

checkFilenameHeaders()

Check headers of files stored on disk

checkImageList()

Check headers of list of antsImages

checkMask()

Compare headers between mask and other images

.createFolds()

Create folds for k-fold validation

getLesionLoad()

Compute regional lesion load

getLesionSize()

Lesion size computation

getUniqueLesionPatches()

Compute unique lesion patches

lesyload_mricron()

Get inputs from MRIcron/npm file

lesymap()

Lesion to Symptom Mapping

lesymap.predict()

Prediction of new cases from lesymap output

lsm_BM()

Brunner-Munzel tests for symptom mapping (slow)

lsm_BMfast()

Brunner-Munzel tests for symptom mapping (fast)

lsm_chisq()

Chi square tests for symptom mapping

lsm_regres()

Regression tests for symptom mapping (slow)

lsm_regresPerm()

Regression tests for symptom mapping (permutation p-vlaues)

lsm_regresfast()

Regression tests for symptom mapping (fast)

lsm_sccan()

Sparse canonical correlations for symptom mapping

lsm_svr()

Support Vector Regression for symptom mapping

lsm_ttest()

T-tests for symptom mapping (slow)

lsm_ttestFast()

T-tests for symptom mapping (fast)

minSegDistance()

Metric displacement of binary masks

optimize_SCCANsparseness()

Optimization of SCCAN sparseness

print(<lesymap>)

Console print of lesymap object

printInfo()

Display info messages in console

registerLesionToTemplate()

Register lesions in template space

regresfast()

Fast linear regressions

save.lesymap()

Save the output of lesymap.

simulateBehavior()

Simulation of behavior scores from lesion maps