makeSphericalSigma

A nimbleFunction that returns a diagonal matrix with all diagonal entries equal to tau_sq. This function is not intended to be called by users of the package directly.

internal

A Bayesian hierarchical model for clustering dissimilarity data using the Dirichlet process. The latent configuration of objects and the number of clusters are automatically inferred during the fitting process. The package supports multiple models which are available to detect clusters of various shapes and sizes using different covariance structures. Additional functions are included to ensure adequate model fits through prior and posterior predictive checks.

Samuel Morrissette

DPCD

Dirichlet Process Clustering with Dissimilarities

Sam Morrissette

makeSphericalSigma function

<dl><dt>tau_sq</dt>
<dd>The variance parameter for the spherical covariance matrix.</dd>
<dt>p</dt>
<dd>The dimension of the covariance matrix.</dd></dl>

Arguments

Create a spherical covariance matrix — makeSphericalSigma

<dl>

<dt>tau_sq</dt>
<dd>The variance parameter for the spherical covariance matrix.</dd>


<dt>p</dt>
<dd>The dimension of the covariance matrix.</dd>

</dl>

makeSphericalSigma: Create a spherical covariance matrix

Description

Usage

Value

Arguments

See Also

Examples