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 >


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

A BibTeX entry for LaTeX users is

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 = {},


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:


# Default Install

# 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.


Initially submitted on September 29 2018 10:09PM
Last updated on October 15 2020 2:50PM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
Reverse Dependssublime, brainR, neurobase (0.11.0), EveTemplate, dcemriS4 (0.5.0), fslr (0.5.0)
Reverse Importspapayar, itksnapr, ggneuro, oasis, afnir, spm12r, dcmsort, brainKCCA, smri.process (0.9.0), radtools, qMRI (0.9), rtapas (0.9.1), dti (0.3.9), lungct, extrantsr, RIA (0.9.1), MNITemplate, WhiteStripe (0.5.0), cifti, voxel, RAVEL, ichseg, oro.dicom (0.4.0), (0.4.0)
Reverse Suggestsmsmri, freesurfer (0.7), clever, fmri, ggBrain, oro.asl, spant, freesurferformats (0.9)