ISOpure.model_optimize.vv.vv_deriv_loglikelihood function

Compute the derivative of the loglikelihood relevant to vv for step 1

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

ISOpure.model_optimize.vv.vv_deriv_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 derivative of the part of the loglikelihood function relevant to vv with respect to (log) vv

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen