Summarize a cluster bundle
summary.dpmixgpd_cluster_bundle.RdReport the modeling choices encoded in a cluster bundle before fitting.
Usage
# S3 method for class 'dpmixgpd_cluster_bundle'
summary(object, ...)Value
Summary list containing kernel choice, GPD flag, dimensions, component count, and monitor configuration.
Details
This summary is a pre-flight check for the clustering workflow. It reports the latent-partition design, the chosen kernel family, whether a GPD tail will be spliced above the threshold, the effective sample and predictor dimensions, and the monitor set that will be carried into MCMC.
Because no posterior simulation has occurred yet, the summary describes only the assumed model structure. Quantities such as representative labels, pairwise co-clustering probabilities, and cluster-specific summaries become available only after the fitted object has been created and post-processed.
See also
print.dpmixgpd_cluster_bundle(), plot.dpmixgpd_cluster_bundle(),
predict.dpmixgpd_cluster_fit().
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_bundle(),
print.dpmixgpd_cluster_fit(),
print.dpmixgpd_cluster_labels(),
print.dpmixgpd_cluster_psm(),
summary.dpmixgpd_cluster_fit(),
summary.dpmixgpd_cluster_labels(),
summary.dpmixgpd_cluster_psm()