Here we provide tools for the computation and factorization of high-dimensional tensor products that are formed by smaller matrices. The methods are based on properties of Kronecker products (Searle 1982, p. 265, ISBN-10: 0470009616). We evaluated this methodology by benchmark testing and illustrated its use in Gaussian Linear Models ('Lopez-Cruz et al., 2024') <doi:10.1093/g3journal/jkae001>.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.6.0) |
| Suggests: | knitr,rmarkdown,ggplot2,ggnewscale,reshape2,RColorBrewer,pryr |
| Published: | 2024-09-03 |
| DOI: | 10.32614/CRAN.package.tensorEVD |
| Author: | Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut] |
| Maintainer: | Marco Lopez-Cruz <maraloc at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/MarcooLopez/tensorEVD |
| NeedsCompilation: | yes |
| Citation: | tensorEVD citation info |
| Materials: | NEWS |
| CRAN checks: | tensorEVD results |
| Reference manual: | tensorEVD.html ,tensorEVD.pdf |
| Vignettes: | Documentation: A fast algorithm to factorize high-dimensional tensor product matrices (source,R code) |
| Package source: | tensorEVD_0.1.4.tar.gz |
| Windows binaries: | r-devel:tensorEVD_0.1.4.zip, r-release:tensorEVD_0.1.4.zip, r-oldrel:tensorEVD_0.1.4.zip |
| macOS binaries: | r-release (arm64):tensorEVD_0.1.4.tgz, r-oldrel (arm64):tensorEVD_0.1.4.tgz, r-release (x86_64):tensorEVD_0.1.4.tgz, r-oldrel (x86_64):tensorEVD_0.1.4.tgz |
| Old sources: | tensorEVD archive |
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