ISOpureS1.model_optimize.vv.vv_compute_loglikelihood: Compute loglikelihood relevant to vv for step 1

Description Usage Arguments Value Author(s)

View source: R/ISOpureS1.model_optimize.vv.vv_compute_loglikelihood.R

Description

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

Usage

1

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


ISOpureR documentation built on May 2, 2018, 1:04 a.m.