Description Usage Arguments Value Author(s)
Computes 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.
1 | ISOpureS2.model_optimize.kappa.kappa_loglikelihood(log_kappa, model)
|
log_kappa |
the 1xD matrix log(kappa - model\$MIN_KAPPA) |
model |
list containing all the parameters to be optimized |
The negative of the loglikelihood relevant to optimizing kappa
Gerald Quon, Catalina Anghel, Francis Nguyen
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