gradient: Estimation of gradient of log-likelihood function

In FREG: Functional Regression Models

Estimation of gradient of log-likelihood function

Description

First derivative of log-likelihood function

Usage

gradient(x, y, beta)

Arguments

x	a design matrix which is a product of inner product of basis functions and basis coefficients of functional covariate X
y	a response variable of class factor
beta	initial values for beta regression coefficients and intercepts

Value

grd	a vector of gradient values at the estimated optimum

FREG documentation built on May 9, 2022, 5:07 p.m.