A library for statistical analysis of neuroimaging data,focused on the MINC file format. Supports gettingand writing volumes, running voxel-wise linear models,correlations, correcting for multiple comparisons with False Discovery Ratecontrol, and more. With contributions from Jason Lerch,Chris Hammill, Jim Nikelski, Matthijs van Eede, Daniel Cassel,Yohan Yee, Gabe Devenyi, and Darren Fernandes.Installation:-------------RMINC provides functionality for working with Medical Imaging NetCDFfiles, and relies on C libraries specifically designed for workingwith these files. For the richest experience please install theminc-toolkit (v2), either from the binary installer:http://bic-mni.github.io/ or from source:https://github.com/BIC-MNI/minc-toolkit-v2. If the toolkit is notfound on your system, RMINC will attempt to install libminc fromsource. This requires a version of CMake greater than 2.6 and git, aswell as the HDF5 development headers. For more details read theINSTALL file**Currently there is no support for RMINC on windows**Tutorials---------RMINC provides learning material:Voxel-wise Statistics (somewhat out of date):https://rawgit.com/Mouse-Imaging-Centre/RMINC/master/inst/documentation/VBMstats.pdfHow RMINC Parallel Works:https://rawgit.com/Mouse-Imaging-Centre/RMINC/master/inst/documentation/RMINC_Parallelism.html RMINC 2D Visualization:https://rawgit.com/Mouse-Imaging-Centre/RMINC/master/inst/documentation/visualizationTutorial.htmlVisualizing 3D Objects with RMINC:https://rawgit.com/Mouse-Imaging-Centre/RMINC/master/inst/documentation/RMINC_rgl.htmlAnalyzing Anatomy with Hierarchical Atlases:https://rawgit.com/Mouse-Imaging-Centre/RMINC/master/inst/documentation/hierarchiesTutorial.htmlDevelopment Version:---------------------RMINC is continually evolving, you can try the newest development version with```library(devtools)install_github("Mouse-Imaging-Centre/RMINC@develop"  , upgrade_dependencies = FALSE)```