Package: tensorEVD
Title: A Fast Algorithm to Factorize High-Dimensional Tensor Product
        Matrices
Version: 0.1.3
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: 2024-05-28
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, reshape2,
        RColorBrewer, pryr
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Packaged: 2024-05-29 02:05:39 UTC; marco
Author: Marco Lopez-Cruz [aut, cre],
  Gustavo de los Campos [aut],
  Paulino Perez-Rodriguez [aut]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-30 07:10:02 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-06-05 04:55:49 UTC; unix
Archs: tensorEVD.so.dSYM
