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tensorEVD: A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
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>.
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Package details |
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| Author | Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut] |
| Maintainer | Marco Lopez-Cruz <maraloc@gmail.com> |
| License | GPL-3 |
| Version | 0.1.4 |
| URL | https://github.com/MarcooLopez/tensorEVD |
| Package repository | View on CRAN |
| Installation |
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