optimx (version 2023-10.21)

grpracma: A reorganization of the call to numDeriv grad() function.

Description

Provides a wrapper for the numDeriv approximation to the gradient of a user supplied objective function userfn.

Usage

grpracma(par, userfn, ...)

Value

grpracma returns an approximation to the gradient of the function userfn

Arguments

par

A vector of parameters to the user-supplied function fn

userfn

A user-supplied function

...

Other data needed to evaluate the user function.

Details

The Richardson method is used in this routine.

Examples

cat("Example of use of grpracma\n")
require(numDeriv)
myfn<-function(xx, shift=100){
    ii<-1:length(xx)
    result<-shift+sum(xx^ii)
}
xx<-c(1,2,3,4)
ii<-1:length(xx)
print(xx)
gn<-grpracma(xx,myfn, shift=0)
print(gn)
ga<-ii*xx^(ii-1)
cat("compare to\n")
print(ga)