Lesion to Symptom Mapping in R


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Documentation for package ‘LESYMAP’ version 0.0.0.9221

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.createFolds Create folds for k-fold validation
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
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
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_regresfast Regression tests for symptom mapping (fast)
lsm_regresPerm Regression tests for symptom mapping (permutation p-vlaues)
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
TTfast TTfast