marg_loglike_poisson_fisher: Marginal log likelihood Fisher information matrix

In incidental: Implements Empirical Bayes Incidence Curves

Description

This function computes the Fisher information matrix log likelihood term with respect to beta.

Usage

marg_loglike_poisson_fisher(beta, reported, Q, lnPmat)

Arguments

beta	A spline parameter vector length num_params.
reported	An integer vector of reported cases.
Q	A spline basis matrix Tmod x num_params.
lnPmat	A 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.