tensorEVD
A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
v0.1.5
·
Jun 24, 2026
·
GPL-3
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>.
Downloads
CRAN
53
Last 30 days
24148th
53
Last 90 days
71
Last year
r2u
CRAN
35
Last 30 days
105
Last 90 days
406
Last year
Trend: -12.5% (30d vs prior 30d)
CRAN Check Status
11
OK
Show all 11 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |