family.rsm.object

Class of objects that characterize the error distribution of a
  regression-scale model.

classes

methods

Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions  of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).

Alex-Antoine Fortin

Higher Order Likelihood Inference

family.rsm.object function

This class of objects is returned by a call to a <code>family.rsm</code> 
  generator function.  See <code><a href="/link/rsm.families?package=hoa&version=2.1.2" rd-options="" data-mini-rdoc="hoa::rsm.families">rsm.families</a></code> for the 
  distributions which are supported by the <code>marg</code> package.  The 
  object includes a list of functions and expressions that 
  characterize the error distribution of a regression-scale model.  
  These are used by the <acronym>IRLS</acronym> algorithm implemented in the 
  <code>rsm</code> fitting routine.  New families can be added to the 
  ones already supported.  See the demonstration file 
  <file>margdemo.R</file> that ships with the package.  There is a 
  <code>print</code> method for <code>family.rsm</code> objects which 
  produces a simple summary without any detail; use 
  <code>unclass(family.rsm.object)</code> to see the contents.

family.rsm.object: Family Object for Regression-Scale Models

Description

Arguments

Generation

See Also