logllk_lcm {ddtlcm}

Calculate loglikelihood of the latent class model, conditional on tree structure

Description

Calculate loglikelihood of the latent class model, conditional on tree structure

Usage

logllk_lcm(
  response_matrix,
  leaf_data,
  prior_class_probability,
  prior_dirichlet,
  ClassItem,
  Class_count
)

Arguments

response_matrix

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})

prior_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

prior_dirichlet

a vector of length K. The Dirichlet prior of class probabilities

ClassItem

a K by J matrix, where the k,j-th element counts the number of individuals that belong to class k have a positive response to item j

Class_count

a length K vector, where the k-th element counts the number of individuals belonging to class k

Value

a numeric of loglikelihood

See Also

Other likelihood functions: logllk_ddt(), logllk_ddt_lcm(), logllk_div_time_one(), logllk_div_time_two(), logllk_location(), logllk_tree_topology()