The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

RNifti: 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.

Version: 1.6.1
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: testthat (≥ 0.11.0), covr, reportr, shades
Enhances: oro.nifti, tractor.base
Published: 2024-03-07
Author: Jon Clayden ORCID iD [cre, aut], Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code at clayden.org>
BugReports: https://github.com/jonclayden/RNifti/issues
License: GPL-2
Copyright: see file COPYRIGHTS
URL: https://github.com/jonclayden/RNifti
NeedsCompilation: yes
Materials: README NEWS
In views: MedicalImaging
CRAN checks: RNifti results

Documentation:

Reference manual: RNifti.pdf

Downloads:

Package source: RNifti_1.6.1.tar.gz
Windows binaries: r-devel: RNifti_1.6.1.zip, r-release: RNifti_1.6.1.zip, r-oldrel: RNifti_1.6.1.zip
macOS binaries: r-release (arm64): RNifti_1.6.1.tgz, r-oldrel (arm64): RNifti_1.6.1.tgz, r-release (x86_64): RNifti_1.6.1.tgz, r-oldrel (x86_64): RNifti_1.6.1.tgz
Old sources: RNifti archive

Reverse dependencies:

Reverse depends: CICA
Reverse imports: ARIbrain, ciftiTools, divest, fmriqa, ggbrain, imbibe, neurobase, oro.nifti, pARI, RNiftyReg, rpyANTs, spant, stapler, sumSome, tractor.base
Reverse linking to: divest, imbibe, RNiftyReg
Reverse suggests: fMRIscrub, fMRItools, templateICAr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RNifti to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.