getExpectedCovMatrix: A convenience function that wraps...

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

Description

This function returns the expected covariance matrix for the covariance parameters in a glmssn object. This function is similar to getExpectedSE.

Usage

getExpectedCovMatrix(glmssn, log.scale = FALSE, ...)

Arguments

glmssn	A fitted glmssn object.
log.scale	Whether the covariance matrix should be on the log-scale. Defaults to FALSE.
...	Optional. Additional arguments to extractExpectedFisherInformation.

Value

A vector of expected standard errors for the glmssn object's covariance parameters.

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