ddtlcm (version 0.2.1)

sample_class_assignment: 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
)

Value

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

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