Learn R Programming

hoa (version 2.1.2)

nlreg.object: Nonlinear Heteroscedastic Model Object

Description

Class of objects returned when fitting a nonlinear heteroscedastic model.

Arguments

coef
the MLEs of the regression coefficients, that is, of the parameters appearing in the right-hand side of the formula argument in the call that generated the nlreg object.
varPar
the MLEs of the variance parameters appearing in the weights argument of the call that generated the nlreg object. If this argument was missing, the MLE of $\log(\sigma^
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: [object Object],[object Object],[object Object],[object Object],[object Object]
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 nlreg, but with all the arguments explicitly named.
ws
a list containing information that is used in subsequent calculations with the following components: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Objec

Generation

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.

Methods

Objects of this class have methods for the functions print, summary, fitted among others.

See Also

nlreg, nls