coef.nls2 - Extract the Estimated Values of the Parameters from an nls2 Object


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DESCRIPTION
USAGE
REQUIRED-ARGUMENTS
VALUE
SEE-ALSO
DETAILS





DESCRIPTION:

Extract the estimated values of the regression parameters and, if any, of the variance parameters and calculate their standard errors.


USAGE:
coef.nls2(nls2.object)

REQUIRED ARGUMENTS:
nls2.object
an object of class `nls2' (see `nls2.object').

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VALUE:

An object of class `fitted.nls2' which contains the following components:
"theta", "beta": the estimated values of the regression parameters and, if any, of the parameters that appear in variance only.
"std.error": the standard errors of the parameters.

When there are several steps, the results of the last one are extracted.


SEE ALSO:

`nls2.object'.


DETAILS:

This function is a method for the generic function `coef' for class `nls2'. It can be invoked by calling `coef' for an object of the appropriate class, or directly by calling `coef.nls2' regardless of the class of the object.

Sommaire


- Mon Sep 30 1996 -