ISOpureS1.model_optimize.vv.vv_compute_loglikelihood {ISOpureR}

Compute loglikelihood relevant to vv for step 1

Description

Computes the part of the loglikelihood function relevant to optimizing vv for step 1.

Usage

ISOpureS1.model_optimize.vv.vv_compute_loglikelihood(vv, sum_log_theta, DD)

Arguments

vv

Kx1 matrix representing the weights of the normal profiles B_i used to make the weighted combination that forms the mean parameter vector for the Dirichlet distribution over m

sum_log_theta

the column sums of log(theta), a 1xK matrix

DD

the number of patients (a scalar)

Value

The negative of the loglikelihood relevant to optimizing vv

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen