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Version 0.1.5 (2026-06-23)

• 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)

Version 0.1.0 (2023-11-14)

• First released version
• Pre manuscript version

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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