residuals.nlreg

resid.nlreg

<p>This is a method for the function <code>residuals()</code> for objects 
  inheriting from class <code>nlreg</code>.  It extracts the standardized
  residuals from a nonlinear model fit.  See <code><a rd-options="" href="/link/residuals?package=nlreg&version=1.2-2.2" data-mini-rdoc="nlreg::residuals">residuals</a></code> for
  the general behavior of this function and for the interpretation of
  <code>object</code>.  A wider choice of residuals is available through the
  <code><a rd-options="nlreg" href="/link/nlreg.diag?package=nlreg&version=1.2-2.2&to=nlreg" data-mini-rdoc="nlreg::nlreg.diag">nlreg.diag</a></code> function.</p>

methods

internal

nonlinear

Likelihood inference based on higher order approximations
for nonlinear models with possibly non constant variance.

Alessandra R Brazzale

nlreg

Higher Order Inference for Nonlinear Heteroscedastic Models

residuals.nlreg function

<p>This is a method for the function <code>residuals()</code> for objects 
  inheriting from class <code>nlreg</code>.  It extracts the standardized
  residuals from a nonlinear model fit.  See <code><a rd-options='' href='residuals'>residuals</a></code> for
  the general behavior of this function and for the interpretation of
  <code>object</code>.  A wider choice of residuals is available through the
  <code><a rd-options='nlreg' href='nlreg.diag'>nlreg.diag</a></code> function.</p>

residuals.nlreg: Use residuals() on a `nlreg' object

Description

Usage

Arguments

See Also