summary.nlrob

an object of class <code>"nlrob"</code>, usually, a result of
    a call to <code><a rd-options="" href="/link/nlrob?package=robustbase&version=0.92-7" data-mini-rdoc="robustbase::nlrob">nlrob</a></code>.

object

logical variable indicating whether
    to compute the correlation matrix of the estimated coefficients.

correlation

logical indicating whether
    to use symbols to display the above correlation matrix.

symbolic.cor

further arguments passed to or from other methods.


  <code>summary</code> method for objects of class <code>"nlrob"</code>, i.e.,
  <code><a rd-options="" href="/link/nlrob?package=robustbase&version=0.92-7" data-mini-rdoc="robustbase::nlrob">nlrob</a>()</code> results.  Currently it only works for
  <code>nlrob(*, method="M")</code>.


robust

regression

nonlinear

"Essential" Robust Statistics.
Tools allowing to analyze data with robust methods.  This includes
regression methodology including model selections and multivariate
statistics where we strive to cover the book "Robust Statistics,
Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.

Martin Maechler

robustbase

Basic Robust Statistics

summary.nlrob function

an object of class <code>"nlrob"</code>, usually, a result of
    a call to <code><a rd-options='' href='nlrob'>nlrob</a></code>.


  <code>summary</code> method for objects of class <code>"nlrob"</code>, i.e.,
  <code><a rd-options='' href='nlrob'>nlrob</a>()</code> results.  Currently it only works for
  <code>nlrob(*, method="M")</code>.


summary.nlrob: Summarizing Robust Fits of Nonlinear Regression Models

Description

Usage

Arguments

Value

See Also