Package: tensorEVD 0.1.5

Marco Lopez-Cruz

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>.

Authors:Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut]

tensorEVD_0.1.5.tar.gz
tensorEVD_0.1.5.tar.gz(r-4.7-arm64)tensorEVD_0.1.5.tar.gz(r-4.7-x86_64)tensorEVD_0.1.5.tar.gz(r-4.6-arm64)tensorEVD_0.1.5.tar.gz(r-4.6-x86_64)
tensorEVD_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tensorEVD/json (API)
NEWS

# Install 'tensorEVD' in R:
install.packages('tensorEVD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/marcoolopez/tensorevd/issues

On CRAN:

Conda:

2.00 score 9 scripts 51 downloads 6 exports 0 dependencies

Last updated from:d8de0a70cf. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK135
source / vignettesOK138
linux-release-arm64OK132
linux-release-x86_64OK168
wasm-releaseOK92

Exports:HadamardHadamard_covKroneckerKronecker_covSumtensorEVD

Dependencies:

Documentation: A fast algorithm to factorize high-dimensional Tensor Product matrices used in Genetic Models

Marco Lopez-Cruz^1,$\star$^, Paulino Pérez-Rodríguez^2^, and Gustavo de los Campos^1,3,4^

Rendered fromtensorEVD-documentation.Rmdusingknitr::rmarkdownon Jun 24 2026.

Last update: 2026-06-24
Started: 2023-11-15