marg_loglike_poisson_grad: Marginal log likelihood gradient

In incidental: Implements Empirical Bayes Incidence Curves

Description

This function computes the gradient of the log likelihood term with respect to beta.

Usage

marg_loglike_poisson_grad(beta, reported, Q, lnPmat)

Arguments

beta	spline parameter vector length num_params
reported	An integer vector of reported cases.
Q	spline basis matrix Tmod x num_params
lnPmat	matrix size Tobs x Tobs, log of make_likelihood_matrix

Value

A numeric vector, gradient of log likelihood value with respect to beta.

incidental documentation built on Sept. 16, 2020, 5:07 p.m.