ISOpureS2.model_optimize.kappa.kappa_deriv_loglikelihood {ISOpureR} | R Documentation |
Compute derivative of loglikelihood with respect to kappa for step 2
Description
Computes the derivative of the part of the loglikelihood function relevant to optimizing kappa for step 2. Instead of performing constrained optimization on kappa directly, we optimize the log of kappa in an unconstrained fashion.
Usage
ISOpureS2.model_optimize.kappa.kappa_deriv_loglikelihood(log_kappa, model)
Arguments
log_kappa |
the 1xD matrix log(kappa - model\$MIN_KAPPA) |
model |
list containing all the parameters to be optimized |
Value
The negative derivative of the part of the loglikelihood function relevant to kappa with respect to log kappa (a Dx1 matrix).
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
[Package ISOpureR version 1.1.3 Index]