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torch-openreml 0.4.0-alpha documentation
torch-openreml 0.4.0-alpha documentation
  • Vignettes
    • Introduction to Marginal REML Estimation
  • For R Users
  • Technical Documentation
  • API Reference
    • MarginalREML
      • torch_openreml.MarginalREML
    • Covariance
      • torch_openreml.covariance.Matrix
      • torch_openreml.covariance.AR1Matrix
      • torch_openreml.covariance.CompoundSymmetricMatrix
      • torch_openreml.covariance.DiagonalMatrix
      • torch_openreml.covariance.DummyMatrix
      • torch_openreml.covariance.EqualEntryMatrix
      • torch_openreml.covariance.EquicorrelationMatrix
      • torch_openreml.covariance.IdentityMatrix
      • torch_openreml.covariance.LowerTriangularMatrix
      • torch_openreml.covariance.ScalarMatrix
      • torch_openreml.covariance.UnconstrainedMatrix
      • torch_openreml.covariance.SimpleMatrix
      • torch_openreml.covariance.simple_param_specs
    • Operators
      • torch_openreml.covariance.Operator
      • torch_openreml.covariance.BlockDiagonal
      • torch_openreml.covariance.HadamardProduct
      • torch_openreml.covariance.KroneckerProduct
      • torch_openreml.covariance.Product
      • torch_openreml.covariance.Transpose
      • torch_openreml.covariance.Inverse
      • torch_openreml.covariance.CovariancePropagation
      • torch_openreml.covariance.Gram
      • torch_openreml.covariance.Sum
      • torch_openreml.covariance.Augment
      • torch_openreml.covariance.Stack
    • Adapter
      • torch_openreml.covariance.Adapter
    • Transforms
      • torch_openreml.covariance.transform.Transform
      • torch_openreml.covariance.transform.TransformChain
      • torch_openreml.covariance.transform.TransformExp
      • torch_openreml.covariance.transform.TransformExp2
      • torch_openreml.covariance.transform.TransformExp10
      • torch_openreml.covariance.transform.TransformExpPow2
      • torch_openreml.covariance.transform.TransformIdentity
      • torch_openreml.covariance.transform.TransformPow
      • torch_openreml.covariance.transform.TransformScaleShift
      • torch_openreml.covariance.transform.TransformSigmoid
    • Post-hoc estimation
      • torch_openreml.blue
      • torch_openreml.blup
      • torch_openreml.marginal_predict
      • torch_openreml.marginal_residual
      • torch_openreml.predict
      • torch_openreml.residual
      • torch_openreml.loglik
    • Utils
      • torch_openreml.utils.get_device
      • torch_openreml.utils.get_dtype
      • torch_openreml.utils.numeric_to_design_matrix
      • torch_openreml.utils.augment
      • torch_openreml.utils.interaction
      • torch_openreml.utils.n_distinct
    • Example Datasets
  • Changelog
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MarginalREMLΒΆ

torch_openreml.MarginalREML(v)

Marginal REML estimator for generalised least squares with a parametric marginal covariance matrix.
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