Covariance

torch_openreml.covariance.Matrix(shape, ...)	Abstract base class for covariance matrices with parameterized structure.
torch_openreml.covariance.AR1Matrix(n[, ...])	First-order autoregressive covariance matrix.
torch_openreml.covariance.CompoundSymmetricMatrix(n)	Compound symmetric covariance matrix with shared variance and correlation.
torch_openreml.covariance.DiagonalMatrix(n)	Diagonal covariance matrix with one variance parameter per entry.
torch_openreml.covariance.DummyMatrix(*args)	Fixed dummy matrix constructed from categorical input.
torch_openreml.covariance.EquicorrelationMatrix(n)	Equicorrelation matrix with a single shared correlation parameter.
torch_openreml.covariance.IdentityMatrix(n)	Fixed \(n \times n\) identity covariance matrix.
torch_openreml.covariance.LowerTriangularMatrix(n, m)	Lower triangular matrix parameterised by its lower-triangular entries.
torch_openreml.covariance.ScalarMatrix(n[, ...])	Scaled identity covariance matrix with a single shared variance parameter.
torch_openreml.covariance.UnconstrainedMatrix(n)	Full symmetric covariance matrix parameterised by lower-triangular entries.