grad: generic gradient function

In blebedenko/impatience2: What the Package Does (One Line, Title Case)

generic gradient function

Description

generic gradient function

Usage

grad(point, params, AWX)

Arguments

point	named vector of 2-3 of parameters (gamma,lambda_0,theta)
params	the actual parameter values
AWX	the dataset

Value

a named vector with the value of the gradient at point, assuming the unspecified parameter is known!

Examples

params <- exampleParams()
names(GL0T(params))
AWX <- exampleDataAWX()
point <- GL0T(params)[c("lambda_0","theta")]
grad(point = point,AWX = AWX,params = params)
point <- GL0T(params)[c("lambda_0","gamma")]
grad(point = point,AWX = AWX,params = params)
point <- GL0T(params)[c("gamma","lambda_0")]
grad(point = point,AWX = AWX,params = params)
point <- GL0T(params) + runif(3)
grad(point = point,AWX = AWX,params = params)

blebedenko/impatience2 documentation built on April 10, 2022, 11:01 a.m.