Package oro.nifti details

Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output

Functions for the input/output and visualization of medical imaging data that follow either the 'ANALYZE', 'NIfTI' or 'AFNI' formats. This package is part of the Rigorous Analytics bundle.

Maintainer: Brandon Whitcher < bwhitcher at gmail.com >

From within R, enter citation(oro.nifti)

To cite oro.nifti in publications use:

Brandon Whitcher, Volker J. Schmid, Andrew Thornton (2011). Working
with the DICOM and NIfTI Data Standards in R. Journal of Statistical
Software, 44(6), 1-28. URL http://www.jstatsoft.org/v44/i06/.

A BibTeX entry for LaTeX users is

@Article{,
title = {Working with the {DICOM} and {NIfTI} Data Standards in {R}},
author = {Brandon Whitcher and Volker J. Schmid and Andrew Thornton},
journal = {Journal of Statistical Software},
year = {2011},
volume = {44},
number = {6},
pages = {1--28},
url = {http://www.jstatsoft.org/v44/i06/},
}

If you have any problems with this package you can open a new issue or check the already existing ones here.

To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('oro.nifti')

# From the Binary Repo in NeuroC
neuro_install('oro.nifti', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('oro.nifti', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('oro.nifti', release = "stable", release_repo = "github")
neuro_install('oro.nifti', release = "current", release_repo = "github")

More detailed installation instructions can be found here.