ISOpureS2.model_optimize.vv.vv_compute_loglikelihood function

Compute loglikelihood relevant to vv for step 2

Compute loglikelihood relevant to vv for step 2

Computes the part of the loglikelihood function relevant to optimizing vv for step 2.

ISOpureS2.model_optimize.vv.vv_compute_loglikelihood(ww, sum_log_theta, D)

Arguments

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

Returns

The negative of the loglikelihood relevant to optimizing vv

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen

  • Maintainer: Paul C Boutros
  • License: GPL-2
  • Last published: 2019-05-11

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