extractExpectedFisherInformation: Extract the expected Fisher information matrix for the...

In apear9/SSNdesign: An R Package for Optimal and Adaptive Sampling Designs on Stream Networks

Description

This function takes a glmssn object and returns the expected Fisher information matrix on its covariance parameters.

Usage

extractExpectedFisherInformation(glmssn,
  covparms = glmssn$estimates$theta, diff = 1e-08)

Arguments

glmssn	An object of class glmssn.
covparms	A vector of covariance parameter values. These are extracted from the glmssn object by default.
diff	The step size used for finite differencing.

Value

The expected Fisher information matrix.

apear9/SSNdesign documentation built on Feb. 19, 2020, 4:29 a.m.