RprobitB_latent_classes: Create object of class 'RprobitB_latent_classes'.
In RprobitB: Bayes Estimation of Latent Class Mixed Multinomial Probit Models

This function creates an object of class RprobitB_latent_classes.

1	RprobitB_latent_classes(latent_classes = NULL)

latent_classes

Either NULL or a list of parameters specifying the number and the latent classes:

C: The number (greater or equal 1) of latent classes, which is set to 1 per default and is ignored if P_r = 0. If update = TRUE, C equals the initial number of classes.
update: A boolean, determining whether to update C. Ignored if P_r = 0. If update = FALSE, all of the following elements are ignored.
Cmax: The maximum number of latent classes.
buffer: The updating buffer (number of iterations to wait before the next update).
epsmin: The threshold weight for removing latent classes (between 0 and 1).
epsmax: The threshold weight for splitting latent classes (between 0 and 1).
distmin: The threshold difference in means for joining latent classes (non-negative).