Package RNifti details

Fast R and C++ Access to NIfTI Images

Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.

Maintainer: Jon Clayden < code at clayden.org >

Documentation

 
From within R, enter citation('RNifti')


To cite package 'RNifti' in publications use:

Jon Clayden, Bob Cox and Mark Jenkinson (2020). RNifti: Fast R and
C++ Access to NIfTI Images. R package version 1.2.3.
https://github.com/jonclayden/RNifti

A BibTeX entry for LaTeX users is

@Manual{,
title = {RNifti: Fast R and C++ Access to NIfTI Images},
author = {Jon Clayden and Bob Cox and Mark Jenkinson},
year = {2020},
note = {R package version 1.2.3},
url = {https://github.com/jonclayden/RNifti},
}

 

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('RNifti')

# from GitHub
neuro_install('RNifti', release = "stable", release_repo = "github")
neuro_install('RNifti', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on September 25 2018 2:13PM
Last updated on October 15 2020 2:50PM
Package type standard
Source GitHub https://github.com/jonclayden/RNifti.git GitHub
Neuroconductor GitHub https://github.com/neuroconductor/RNifti GitHub
Reverse Importsfmriqa, smri.process, flexconn, pbj, stapler, oro.nifti (0.9.0), NiftiArray, extrantsr, RNiftyReg, divest (0.3.0), fslr, spant, neurobase
Reverse Suggestsclever