LOCUS
Low-Rank Decomposition of Brain Connectivity Matrices with Uniform Sparsity
v1.0
·
Oct 4, 2022
·
GPL-2
Description
To decompose symmetric matrices such as brain connectivity matrices so that one can extract sparse latent component matrices and also estimate mixing coefficients, a blind source separation (BSS) method named LOCUS was proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain connectivity matrices, the outputs correspond to sparse latent connectivity traits and individual-level trait loadings.
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| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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CRAN incoming feasibility
Maintainer: ‘Jialu Ran <jialuran422@gmail.com>’ The Description field contains was proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Jialu Ran <jialuran422@gmail.com>’ The Description field contains was proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Jialu Ran <jialuran422@gmail.com>’ The Description field contains was proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Jialu Ran <jialuran422@gmail.com>’ The Description field contains was proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
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new
1.0
Mar 10, 2026