makeDiagonalSigma

A nimbleFunction that returns a diagonal matrix with diagonal entries equal to tau_sq_vec. 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

makeDiagonalSigma function

<dl><dt>tau_sq_vec</dt>
<dd>A vector of length <code>p</code> containing variance parameters for the covariance matrix.</dd></dl>

Arguments

Create a diagonal covariance matrix — makeDiagonalSigma

<dl>

<dt>tau_sq_vec</dt>
<dd>A vector of length <code>p</code> containing variance parameters for the covariance matrix.</dd>

</dl>

makeDiagonalSigma: Create a diagonal covariance matrix

Description

Usage

Value

Arguments

See Also

Examples