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 and ANALYZE-7.5 formats, with seamless synchronisation between compiled C and interpreted R code. Also provides a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration.

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 (2019). RNifti: Fast R and
C++ Access to NIfTI Images. R package version 0.11.1.
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 = {2019},
note = {R package version 0.11.1},
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 24 2019 3:43PM
Package type standard
Source GitHub https://github.com/jonclayden/RNifti.git GitHub
Neuroconductor GitHub https://github.com/neuroconductor/RNifti GitHub
ImportsRcpp (0.11.0)
LinkingToRcpp
Suggeststestthat (0.11.0), covr, reportr
Enhancesoro.nifti, tractor.base
Reverse Importsstapler, oro.nifti (0.9.0), divest (0.3.0), flexconn, smri.process, neurobase, fmriqa, RNiftyReg (0.4.0), extrantsr, spant, NiftiArray, pbj