Package oro.nifti details

  Package Description
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 >

Documentation

 
  Citation
From within R, enter citation('oro.nifti')

 
  Issues

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

 
  Versions(Pending - no previous version)
 
  Installation
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.

 
  Details

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
DependsR (2.14.0)
Importsstats, bitops, splines, graphics, grDevices, methods, utils, abind, RNifti (0.9.0), rticles
SuggestsXML, testthat, covr, knitr, rmarkdown
EnhancesdcemriS4, fmri, oro.dicom
Reverse Dependssublime, neurobase (0.11.0), EveTemplate, dcemriS4 (0.5.0), brainR, fslr (0.5.0)
Reverse Importspapayar, itksnapr, ggneuro, afnir, brainKCCA, radtools, rtapas (0.9.1), oasis, dcmsort, MNITemplate, oro.dicom (0.4.0), WhiteStripe (0.5.0), cifti, voxel, oro.pet (0.4.0), spm12r, RAVEL, RIA (0.9.1), qMRI (0.9), ciftiTools, dti (0.3.9)
Reverse Suggestsmsmri, fmri, freesurfer (0.7), oro.asl, freesurferformats (0.9), fMRIscrub