expInfo.nlreg {nlreg} | R Documentation |
Returns the expected information matrix for a fitted nlreg
model.
## S3 method for class 'nlreg': expInfo(object, par, mu, v, m1 = NULL, v1 = NULL, ...)
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.
|
mu |
numerical vector containing the mean function evaluated at each
data point. If missing, the fitted values saved in
object are used.
|
v |
numerical vector containing the variance function evaluated at
each data point. If missing, the values of the weights
component of object are used.
|
m1 |
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 is used.
|
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 is used.
|
... |
absorbs any additional argument. |
This function is a method for the generic function
expInfo
for objects inheriting from class
nlreg
.
the expected information matrix of the fitted nonlinear model passed
through the object
argument.
This function is mostly intended for internal use. It is called by
functions such as nlreg.diag
,
summary.nlreg
and
profile.nlreg
. To extract the expected
information matrix from a fitted nlreg
object, the generic
method expInfo
should be used.
expInfo
, nlreg.object
,
obsInfo