RprobitB_latent_classes: Create object of class 'RprobitB_latent_classes'

In RprobitB: Bayesian Probit Choice Modeling

Create object of class RprobitB_latent_classes

Description

This function creates an object of class RprobitB_latent_classes which defines the number of latent classes and their updating scheme.

Usage

RprobitB_latent_classes(latent_classes = NULL)

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

Arguments

latent_classes	[list() | NULL] Optionally parameters specifying the number of latent classes and their updating scheme. The values in brackets are the default. C (1): The fixed number (greater or equal 1) of (initial) classes. wb_update (FALSE): Set to TRUE for weight-based class updates. dp_update (FALSE): Set to TRUE for Dirichlet process class updates. Cmax (10): The maximum number of latent classes. The following specifications are used for the weight-based updating scheme: buffer (50): The number of iterations to wait before the next update. epsmin (0.01): The threshold weight for removing a latent class. epsmax (0.7): The threshold weight for splitting a latent class. deltamin (0.1): The minimum mean distance before merging two classes. deltashift (0.5): The scale for shifting the class means after a split.
x	An object of class RprobitB_latent_classes.
...	Currently not used.

Value

An object of class RprobitB_latent_classes.

RprobitB documentation built on Aug. 26, 2025, 1:08 a.m.