selectModel: Select best PRECAST model from candidated models

In PRECAST: Embedding and Clustering with Alignment for Spatial Datasets

Select best PRECAST model from candidated models

Description

Select best PRECAST model from candidated models with different number of clusters.

Usage

  ## S3 method for class 'SeqK_PRECAST_Object'
SelectModel(obj, criteria = 'MBIC',pen_const=1, return_para_est=FALSE)
  ## S3 method for class 'PRECASTObj'
SelectModel(obj, criteria = 'MBIC',pen_const=1, return_para_est=FALSE)

Arguments

obj	a SeqK_PRECAST_Object or PRECASTObj object after PRECAST model fitting.
criteria	a string, specify the criteria used for selecting the number of clusters, supporting "MBIC", "BIC" and "AIC".
pen_const	an optional positive value, the adjusted constant used in the MBIC criteria.
return_para_est	an optional logical value, whether return the other paramters' estimators in PRECAST.

Details

Nothing

Value

Return a revised PRECASTObj object.

Note

nothing

Author(s)

Wei Liu

See Also

None

Examples

  data(PRECASTObj)
  PRECASTObj <- SelectModel(PRECASTObj)
  

PRECAST documentation built on May 29, 2024, 3 a.m.