oro.nifti: 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.

Version: 0.11.4
Depends: R (≥ 2.14.0)
Imports: stats, bitops, splines, graphics, grDevices, methods, utils, abind, RNifti (≥ 0.9.0)
Suggests: XML, testthat, covr, knitr, rmarkdown, rticles
Enhances: fmri, oro.dicom
Published: 2022-08-10
Author: Brandon Whitcher [aut, cre], Volker Schmid [aut], Andrew Thornton [aut], Karsten Tabelow [ctb], Jon Clayden [ctb], John Muschelli [aut]
Maintainer: Brandon Whitcher <bwhitcher at gmail.com>
BugReports: https://github.com/bjw34032/oro.nifti/issues
License: BSD_3_clause + file LICENSE
URL: https://rigorousanalytics.blogspot.com
NeedsCompilation: no
Citation: oro.nifti citation info
Materials: NEWS
In views: MedicalImaging
CRAN checks: oro.nifti results

Documentation:

Reference manual: oro.nifti.pdf

Downloads:

Package source: oro.nifti_0.11.4.tar.gz
Windows binaries: r-devel: oro.nifti_0.11.4.zip, r-release: oro.nifti_0.11.4.zip, r-oldrel: oro.nifti_0.11.4.zip
macOS binaries: r-release (arm64): oro.nifti_0.11.4.tgz, r-oldrel (arm64): oro.nifti_0.11.4.tgz, r-release (x86_64): oro.nifti_0.11.4.tgz
Old sources: oro.nifti archive

Reverse dependencies:

Reverse depends: brainR, fslr, mritc, neurobase
Reverse imports: BayesDLMfMRI, BHMSMAfMRI, brainKCCA, BSPBSS, CICA, cifti, ciftiTools, dti, fmri, hNMF, mand, neuronorm, oro.dicom, oro.pet, qMRI, RIA, vesselr, voxel, WhiteStripe
Reverse suggests: brainGraph, fMRIscrub, fMRItools, freesurferformats, TCIU, templateICAr
Reverse enhances: MixfMRI, RNifti, tractor.base

Linking:

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