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) <doi:10.48550/arXiv.2008.08915>. For brain connectivity matrices, the outputs correspond to sparse latent connectivity traits and individual-level trait loadings.
| Version: | 1.0 |
| Depends: | R (≥ 3.1.0), ica, MASS, far |
| Published: | 2022-10-04 |
| DOI: | 10.32614/CRAN.package.LOCUS |
| Author: | Yikai Wang [aut, cph], Jialu Ran [aut, cre], Ying Guo [aut, ths] |
| Maintainer: | Jialu Ran <jialuran422 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LOCUS results |
| Reference manual: | LOCUS.html , LOCUS.pdf |
| Package source: | LOCUS_1.0.tar.gz |
| Windows binaries: | r-devel: LOCUS_1.0.zip, r-release: LOCUS_1.0.zip, r-oldrel: LOCUS_1.0.zip |
| macOS binaries: | r-release (arm64): LOCUS_1.0.tgz, r-oldrel (arm64): LOCUS_1.0.tgz, r-release (x86_64): LOCUS_1.0.tgz, r-oldrel (x86_64): LOCUS_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=LOCUS to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.