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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 |
| DOI: | 10.32614/CRAN.package.oro.nifti |
| 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 |
| Reference manual: | oro.nifti.pdf |
| 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, r-oldrel (x86_64): oro.nifti_0.11.4.tgz |
| Old sources: | oro.nifti archive |
| Reverse depends: | brainR, fslr, mritc, neurobase |
| Reverse imports: | BayesDLMfMRI, BHMSMAfMRI, brainKCCA, BSPBSS, CICA, cifti, ciftiTools, dti, fmri, hNMF, ieegio, mand, oro.dicom, oro.pet, qMRI, RIA, threeBrain, vesselr, voxel, WhiteStripe |
| Reverse suggests: | brainGraph, fMRIscrub, fMRItools, freesurfer, freesurferformats, nifti.pbcor, TCIU, templateICAr |
| Reverse enhances: | MixfMRI, RNifti, tractor.base |
Please use the canonical form https://CRAN.R-project.org/package=oro.nifti 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.