expInfo.nlreg: Expected Information Matrix for `nlreg' Objects

Description

Returns the expected information matrix for a fitted nlreg model.

Usage

## S3 method for class 'nlreg':
expInfo(object, par, mu, v, m1 = NULL, v1 = NULL, \dots)

Arguments

object

a fitted nlreg object such as returned by a call to nlreg.

par

a vector of parameter values where each element is named after the parameter it represents. If missing, the values in the ws$allPar component of object are used.

numerical vector containing the mean function evaluated at each data point. If missing, the fitted values saved in object are used.

numerical vector containing the variance function evaluated at each data point. If missing, the values of the weights component of object are used.

a matrix whose rows represent the gradients of the mean function evaluated at each data point. If NULL, the gradient attribute of the object returned by a call to Dmean

v1

a matrix whose rows represent the gradient of the variance 
    function evaluated at each data point.  If NULL, the 
    gradient attribute of the object returned  by a call to 
    Dvar

...

absorbs any additional argument.

`Value`

the expected information matrix of the fitted nonlinear model passed
  through the object argument.

`Details`

This function is a method for the generic function 
  expInfo for objects inheriting from class 
  nlreg.

`See Also`

expInfo, nlreg.object, 
  obsInfo