Description Usage Arguments Details Value Examples
Samples from a marginal posterior multivariate t-distribution with normal-inverse-chi-squared-prior are generated.
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object |
Observed object, as |
lambda |
Scaling parameter (λ) of the normal-inverse-chi-squared-prior. |
sigma |
Square root of the σ_{0}^{2} parameter of the normal-inverse-chi-squared-prior. |
nu0 |
Degrees of freedom (ν_{0}) of the normal-inverse-chi-square-prior. |
ns |
Number of samples that should be generated. |
An eigenvalue decomposition is used for sampling. To speed up computations,
a 2D discrete cosine transform (DCT) has been implemented, see dctMatrix
.
The output is a list containing
Samples of the marginal posterior of the input as column vectors.
The mean of the marginal posterior of the input as a vector.
A list containing the following elements:
sample
Samples of the marginal posterior of the input.
mu
Mean of the marginal posterior of the input.
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