On 27/08/2012 01:51, Leila Brook wrote:
>
>

Leila,

You may also want to have a look at the gamlss package....it allows you 
to model higher moments as a function of covariates for a large number 
of distributions. I think this would be my first stop...before digging 
into Bayesian stuff.

Kind regards,

Alain
>
> Thanks very much for your advice on how to deal with 
> heteroscedasticity in a generalised model.
>
> I will look into Bayesian methods (MCMCglmm/WinBUGS) to try and 
> resolve the violation.
>
> Kind regards,
> Leila Brook
>
> *Leila Brook*
>
> PhD Candidate
>
> School of Marine and Tropical Biology
>
> Australian Tropical Sciences and Innovation Precinct
>
> James Cook University
>
> Townsville QLD 4811
>


-- 

Dr. Alain F. Zuur
First author of:

1. Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.
URL: www.springer.com/0-387-45967-7


2. Mixed effects models and extensions in ecology with R. (2009).
Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.
http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9


3. A Beginner's Guide to R (2009).
Zuur, AF, Ieno, EN, Meesters, EHWG. Springer
http://www.springer.com/statistics/computational/book/978-0-387-93836-3


4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm

Other books: http://www.highstat.com/books.htm


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