Argument ‘nu’ can be passed to the ‘tensorEVD’ function to define
the number of eigenvectors to be derived
Argument ‘norm’ can be passed to the ‘tensorEVD’ function to scale
the Kronecker product of eigenvalues before sorting. If not provided, it
will be internally calculated
Argument ‘order’ can be passed to the ‘tensorEVD’ function to sort
the Kronecker product of eigenvalues after proper scaling
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)