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Print a cluster bundle

print.dpmixgpd_cluster_bundle.Rd

Compact display for a dpmixgpd_cluster_bundle before MCMC is run.

Usage

# S3 method for class 'dpmixgpd_cluster_bundle'
print(x, ...)

Arguments

x

A cluster bundle.

...

Unused.

Value

x, invisibly.

Details

A cluster bundle is the pre-sampling representation of the latent partition model. It stores the formula-derived design, kernel choice, truncation level, and the rule by which predictors enter the clustering model, but it does not yet contain posterior draws of the latent labels \(z_1, \dots, z_n\).

print() is intentionally brief. It is meant to confirm that the bundle matches the requested clustering structure before you run MCMC with run_cluster_mcmc() or the higher-level wrappers dpmix.cluster() and dpmgpd.cluster().

See also

dpmix.cluster(), dpmgpd.cluster(), summary.dpmixgpd_cluster_bundle().

Other cluster workflow: dpmgpd.cluster(), dpmix.cluster(), plot.dpmixgpd_cluster_bundle(), plot.dpmixgpd_cluster_fit(), plot.dpmixgpd_cluster_labels(), plot.dpmixgpd_cluster_psm(), predict.dpmixgpd_cluster_fit(), print.dpmixgpd_cluster_fit(), print.dpmixgpd_cluster_labels(), print.dpmixgpd_cluster_psm(), summary.dpmixgpd_cluster_bundle(), summary.dpmixgpd_cluster_fit(), summary.dpmixgpd_cluster_labels(), summary.dpmixgpd_cluster_psm()