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')
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 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 | March 31 2021 10:00AM |
Package type | standard |
Source GitHub | https://github.com/bjw34032/oro.nifti GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/oro.nifti GitHub |
Depends | R (2.14.0) |
Imports | stats, bitops, splines, graphics, grDevices, methods, utils, abind, RNifti (0.9.0), rticles |
Suggests | XML, testthat, covr, knitr, rmarkdown |
Enhances | dcemriS4, fmri, oro.dicom |
Reverse Depends | EveTemplate, neurobase (0.10.3), dcemriS4 (0.5.0), brainR, sublime, fslr (0.5.0) |
Reverse Imports | MNITemplate, cifti, oro.dicom (0.4.0), voxel, oro.pet (0.4.0), WhiteStripe (0.5.0), papayar, itksnapr, ggneuro, afnir, dti (0.3.9), spm12r, brainKCCA, radtools, rtapas (0.9.1), RIA (0.9.1), qMRI (0.9), RAVEL, oasis, dcmsort, ciftiTools |
Reverse Suggests | fmri, msmri, oro.asl, freesurfer (0.7), freesurferformats (0.9), fMRIscrub |