Description Usage Arguments Details Value Note See Also
Returns the observed information matrix from a fitted nlreg
model.
1 2 3 |
object |
a fitted |
par |
a vector of parameter values where each element is named after the
parameter it represents. If missing, the values in the
|
mu |
numerical vector containing the mean function evaluated at each
data point. If missing, the fitted values saved in
|
v |
numerical vector containing the variance function evaluated at
each data point. If missing, the values of the |
m1 |
a matrix whose rows represent the gradients of the mean function
evaluated at each data point. If |
m2 |
a three-way array whose rows represent the Hessian of the mean
function evaluated at each data point. If |
v1 |
a matrix whose rows represent the gradient of the variance
function evaluated at each data point. If |
v2 |
a three-way array whose rows represent the Hessian of the variance
function evaluated at each data point. If |
... |
absorbs any additional argument. |
This function is a method for the generic function
obsInfo
for objects inheriting from class
nlreg
.
the observed 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 summary.nlreg
and
profile.nlreg
. To extract the observed
information matrix from a fitted nlreg
object, the generic
method obsInfo
should be used.
obsInfo
, nlreg.object
,
expInfo
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