poisson_objective_grad {incidental}

Poisson objective function gradient

Description

This function computes the Poisson objective function (including regularizer) gradient.

Usage

poisson_objective_grad(beta, lam, reported, Q, lnPmat, regularization_order)

Arguments

beta

spline parameter vector length num_params

lam

positive scalar regularization strength

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

regularization_order

An integer (typically 0, 1, 2), indicating differencing order for L2 regularization of spline parameters. Default is 2 for second derivative penalty.

Value

scalar objective function value