update_lazy_linear_multivariate_normal_inverse_gamma_gaussian

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function update_lazy_linear_multivariate_normal_inverse_gamma_gaussian(x:Expression<Real>, a:Expression<Real[_]>, ν:Expression<Real[_]>, Λ:Expression<LLT>, c:Expression<Real>, α:Expression<Real>, γ:Expression<Real>) -> (Expression<Real[_]>, Expression<LLT>, Expression<Real>, Expression<Real>)

Update the parameters of a normal inverse-gamma distribution with a linear transformation involving a dot product, and Gaussian likelihood.

• x: The variate.
• A: Scale.
• ν: Prior precision times mean.
• Λ: Prior precision.
• c: Offset.
• α: Prior shape of the inverse-gamma.
• γ: Prior scale accumulator.

Returns: the posterior hyperparameters μ', Λ', γ', α' and β'.