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Estimate the correlation between two NIfTI images across random parcellations of the images (Fortea et al., under review). This approach overcomes the problems of both voxel-based correlations (neighbor voxels may be spatially dependent) and atlas-based correlations (the correlation may depend on the atlas used).
Version: | 1.0 |
Depends: | R (≥ 2.10) |
Suggests: | oro.nifti |
Published: | 2024-07-31 |
DOI: | 10.32614/CRAN.package.nifti.pbcor |
Author: | Joaquim Radua |
Maintainer: | Joaquim Radua <quimradua at gmail.com> |
License: | Artistic License 2.0 |
NeedsCompilation: | no |
CRAN checks: | nifti.pbcor results |
Reference manual: | nifti.pbcor.pdf |
Package source: | nifti.pbcor_1.0.tar.gz |
Windows binaries: | r-devel: nifti.pbcor_1.0.zip, r-release: nifti.pbcor_1.0.zip, r-oldrel: nifti.pbcor_1.0.zip |
macOS binaries: | r-release (arm64): nifti.pbcor_1.0.tgz, r-oldrel (arm64): nifti.pbcor_1.0.tgz, r-release (x86_64): nifti.pbcor_1.0.tgz, r-oldrel (x86_64): nifti.pbcor_1.0.tgz |
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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.