deriva_grad: Numerical derivatives of the gradient function

Description Usage Arguments Value Author(s)

View source: R/deriva_grad.R

Description

The function computes the information score matrix in the case where the first derivatives of the function to optimize are analytically known. Therefore, minus the derivatives of the gradient are computed by central finite differences.

Usage

1
deriva_grad(nproc = 1, b, grad, .packages = NULL, ...)

Arguments

nproc

number of processors for parallel computing

b

value of parameters to be optimized over

grad

the gradient of the function to be minimized (or maximized)

.packages

character vector of packages that grad depends on

...

other arguments of the grad function

Value

hessian

vector containing the upper part of the information score matrix

Author(s)

Viviane Philipps, Boris Hejblum, Cecile Proust-Lima, Daniel Commenges


VivianePhilipps/marqLevAlgParallel documentation built on March 28, 2020, 1:32 p.m.