ISOpureS2.model_optimize.theta.theta_deriv_loglikelihood {ISOpureR}

Compute the derivative of loglikelihood relevant to theta for step 2

Description

Computes the derivative of the loglikelihood function relevant to optimizing theta, not with respect to theta but with respect to unconstrained variables

Usage

ISOpureS2.model_optimize.theta.theta_deriv_loglikelihood(ww, tumordata, dd, model)

Arguments

ww

the theta weights corresponding to patient dd, a 1xK matrix

tumordata

a GxD matrix representing gene expression profiles of tumor samples

dd

the patient number

model

list containing all the parameters to be optimized

Value

The negative derivative of the loglikelihood function relevant to optimizing theta, not with respect to theta but with respect to unconstrained variables.

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen