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Distribution family for non-negative lower and upper bound values

Gitu wa Mbui 
Alain, Steven,

Thanks both for the lead and for the papers. A few clarifications:

*1. SP>> Consider a mixed effects variant of the beta regression model, as
discussed in the papers below.*

I assume that you agree with the rescaling approach then? I should have
mentioned that I will be comparing several models  - the ideal package
would be gamm4, however it doesn't fit betar family. (gamm package does but
comparing models is compromised)

*2. AZ>>You could try a beta distribution, which can be used when your data
is between x1 and x2.*

Not sure I understand 'when your data is between x1 and x2'. What does x1
and x2 refer to?

In any case - as recommended in your book - beginners to GAMM, gamm4
package is ideal when comparing models (I have 500 models to compare). This
doesn't fit beta family - is there a workaround?

*3. AZ>>All in all this sounds like an MCMC job. I haven't tried
SabreR...maybe it can do a beta distribution.*

I haven't tried these two before

Kind regards,

Gitu
On Sat, Dec 26, 2015 at 1:57 AM, Steven J. Pierce <pierces1 at msu.edu> wrote:

            

      
      
      
    

        

  
  


  


  


  
  

    

  

    
      
    
    
Thread (4 messages)

  

  

    
            
        Gitu wa Mbui
        
        Distribution family for non-negative lower and upper bound values
      
      Dec 23
    
    
      
            
        Steven J. Pierce
        
        Distribution family for non-negative lower and upper	bound values
      
      Dec 25
    
    
      
            
        Gitu wa Mbui
        
        Distribution family for non-negative lower and upper bound values
      
      Dec 25
    
    
      
            
        Steven J. Pierce
        
        Distribution family for non-negative lower and upper bound values
      
      Dec 25