get.gnl: Gradient of the negative log-likelihood of the base (null)...

In RestoreNet: Random-Effects Stochastic Reaction Networks

Gradient of the negative log-likelihood of the base (null) model

Description

Compute the gradient of the negative log-likelihood of the null model, namely the linear model without rondom effects at all.

Usage

get.gnl(theta, M, y, V, VCNs, nObs, dW)

Arguments

theta	p-dimensional vector parameter.
M	A n \times K dimensional (design) matrix.
y	n-dimensional vector of the time-adjacent cellular increments
V	A p \times K dimensional net-effect matrix.
dW	p-dimensional list of the partial derivatives of W w.r.t. theta.

Value

p-dimensional vector of the gradient of the negative log-likelihood.

RestoreNet documentation built on May 29, 2024, 4 a.m.