NEWS.md

In tensorEVD: A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices

Version 0.1.4 (2024-09-02)

• New function 'Sum' to efficiently compute a weighted sum of two matrices
• Warnings from CRAN checks were addressed

Version 0.1.3 (2024-05-28)

• Bugs fixed: Inplace calculation (parameter 'inplace=TRUE') in Hadamard_cov and Kronecker_cov functions caused an error in v0.1.2
• Warnings from CRAN checks with 'rchk' addressed

Version 0.1.2 (2024-05-22)

• Change of names of arguments in 'Hadamard' function: rowsA -> IDrowA, colsA -> IDcolA, rowsB -> IDrowB, colsB -> IDcolB
• New function added: 'Hadamard_cov' to penalize a multi-variate covariance matrix. See help(Hadamard_cov)

Version 0.1.1 (2024-02-07)

• Warnings and notes from CRAN checks addressed
• Pre-calculated EVD can be passed to the 'tensorEVD' function as a list type object as per the 'eigen' function
• Manuscript published: Lopez-Cruz et al., 2024 (doi:10.1093/g3journal/jkae001)

Version 0.1.0 (2023-11-14)

• First released version
• Pre manuscript version

tensorEVD documentation built on Sept. 11, 2024, 9:02 p.m.