Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Chris Hammill, Jim Nikelski and Matthijs van Eede. Some additional information can be found here:
Antoine ran into an interesting problem where he was trying to do hanatLmer on volume proportions. The model failed because at the root node there is zero variance (every brain has proportion 1). So we hacked in filter functions into the hanatLmer functions. This is probably generically useful.
Antoine ran into an interesting problem where he was trying to do
hanatLmeron volume proportions. The model failed because at the root node there is zero variance (every brain has proportion 1). So we hacked in filter functions into thehanatLmerfunctions. This is probably generically useful.