ISOpure.model_optimize.vv.vv_loglikelihood function

Compute the loglikelihood relevant to vv for step 1

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

ISOpure.model_optimize.vv.vv_loglikelihood(ww, sum_log_theta, DD)

Arguments

• ww: log(vv-1), a Kx1 matrix
• sum_log_theta: the column sums of log(theta), a 1xK matrix
• DD: the number of patients (a scalar)

Returns

The negative of the loglikelihood relevant to vv

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen