Description Arguments Generation Methods Note See Also
Class of objects returned when fitting a nonlinear heteroscedastic model.
The following components must be included in a nlreg
object:
coef 
the MLEs of the regression coefficients, that is, of
the parameters appearing in the righthand side of the

varPar 
the MLEs of the variance parameters appearing in the

offset 
a numerical vector with a single named element indicating the parameter of interest and the value to which it was fixed while fitting the nonlinear model. 
logLik 
the log likelihood from the fit. 
meanFun 
the formula expression of the mean function. 
varFun 
the formula expression of the variance function. 
data 
a list representing a summary of the original data with the following components:

fitted 
the fitted values, that is, the mean function evaluated at each data point. 
weights 
the variance function evaluated at each data point. 
residuals 
the response/standardized residuals from the fit. 
start 
the starting values used to initialize the fitting routine. 
call 
an image of the call to 
ws 
a list containing information that is used in subsequent calculations with the following components:

This class of objects is returned by the nlreg
function to
represent a fitted nonlinear heteroscedastic model. Class
nlreg
inherits from class nls
, which represents a
homoscedastic nonlinear model fit.
Objects of this class have methods for the functions
print
, summary
,
fitted
among others.
The residuals, fitted values and coefficients should be extracted by
the generic functions of the same name, rather than by the $
operator.
The data
and ws
components are not intended to be
directly accessed by users, but rather contain information invoked
by functions such as profile
and
nlreg.diag
.
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