get.gnl {RestoreNet}R Documentation

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.


[Package RestoreNet version 1.0.1 Index]