Package: tensorEVD
Title: A Fast Algorithm to Factorize High-Dimensional Tensor Product
        Matrices
Version: 0.1.5
Authors@R: c(
    person("Marco", "Lopez-Cruz", role = c("aut","cre"), email = "maraloc@gmail.com"),
    person("Gustavo", "de los Campos", role = c("aut"), email = "gustavoc@msu.edu"),
    person("Paulino", "Perez-Rodriguez", role = c("aut"), email = "perpdgo@colpos.mx"))
Date: 2026-06-23
Description: 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>.
URL: https://github.com/MarcooLopez/tensorEVD
LazyLoad: true
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown, ggplot2, ggnewscale, rlang
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Repository: https://marcoolopez.r-universe.dev
Date/Publication: 2026-06-23 21:08:33 UTC
RemoteUrl: https://github.com/marcoolopez/tensorevd
RemoteRef: HEAD
RemoteSha: 3e3a120b72d8d5eefb5613534de12db172d4f932
Packaged: 2026-06-25 08:17:10 UTC; root
Author: Marco Lopez-Cruz [aut, cre],
  Gustavo de los Campos [aut],
  Paulino Perez-Rodriguez [aut]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>