sample_class_assignment: Sample individual class assignments Z_i, i = 1, ..., N

In ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior

Sample individual class assignments Z_i, i = 1, ..., N

Description

Sample individual class assignments Z_i, i = 1, ..., N

Usage

sample_class_assignment(
  data,
  leaf_data,
  a_pg,
  auxiliary_mat,
  class_probability
)

Arguments

data	a N by J binary matrix, where the i,j-th element is the response of item j for individual i
leaf_data	a K by J matrix of logit(theta_{kj})
a_pg	a N by J matrix of hyperparameters of the generalized logistic distribution
auxiliary_mat	a N by J matrix of truncated normal variables from previous iteration
class_probability	a length K vector, where the k-th element is the probability of assigning an individual to class k. It does not have to sum up to 1

Value

a vector of length N, where the i-th element is the class assignment of individual i

ddtlcm documentation built on May 29, 2024, 5:41 a.m.