negative.binomial

From MASS v7.3-0 by Brian Ripley

Family function for Negative Binomial GLMs

Specifies the information required to fit a Negative Binomial generalized linear model, with known theta parameter, using glm().

Keywords: models, regression

Usage

negative.binomial(theta = stop("'theta' must be specified"), link = "log")

Arguments

theta: The known value of the additional parameter, theta.
link: The link function, as a character string, name or one-element character vector specifying one of log, sqrt or identity, or an object of class "link-glm"


    

    
    

    
      
        
        Value
        
An object of class "family", a list of functions and
  expressions needed by glm() to fit a Negative Binomial
  generalized linear model.

      
    

    

    
      
      
    

    
      
        
        References
        Venables, W. N. and Ripley, B. D. (1999)
  Modern Applied Statistics with S-PLUS. Third
  Edition. Springer.
      
    

    
      
        
        See Also
        glm.nb, anova.negbin,
  summary.negbin
      
    

    
      
        
        Aliases
        
        
          negative.binomial
        
        
      
    

    
      
        
        Examples
          
            # Fitting a Negative Binomial model to the quine data
#   with theta = 2 assumed known.
#
glm(Days ~ .^4, family = negative.binomial(2), data = quine)
          
      
      
    
    
       Documentation reproduced from package MASS, version 7.3-0,
        License: GPL-2 | GPL-3
      
    

    
    

    
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