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 >
From within R, enter citation('RNifti')
If you have any problems with this package you can open a new issue or check the already existing ones here.
| Version | Released | Submitted | Unix | OSX | Win | Coverage |
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| 1.4.4 | 2023-03-05 14:02:24 | 
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| 1.4.4 | 2023-01-18 11:00:21 |
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| 1.3.1 | 2023-01-18 10:30:15 |
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| 1.3.1 | 2021-03-31 10:00:00 |
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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 | March 31 2021 10:00AM |
| Package type | standard |
| Source GitHub | https://github.com/jonclayden/RNifti.git GitHub |
| Neuroconductor GitHub | https://github.com/neuroconductor/RNifti GitHub |
| Imports | Rcpp (0.11.0) |
| LinkingTo | Rcpp |
| Suggests | testthat (0.11.0), covr, reportr, shades |
| Enhances | oro.nifti, tractor.base |
| Reverse Imports | fmriqa, NiftiArray, RNiftyReg, divest (0.3.0), oro.nifti (0.9.0), spant, neurobase, fslr, stapler, pbj, ciftiTools |
| Reverse Suggests | fMRIscrub |
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