On 11-09-05 02:13 PM, Billy wrote:
> Dear Dr. Ben Bolker and 'JLucke',
>
> Thanks for your comments, but I'm still facing some problems.
> For example, using the gls() function, I receive an error message and
> I'm not sure I'm writing the arguments in the right way.
Well, (if you still need he
Dear Dr. Ben Bolker and 'JLucke',
Thanks for your comments, but I'm still facing some problems.
For example, using the gls() function, I receive an error message and I'm
not sure I'm writing the arguments in the right way.
Instead, I thought about my original models and realized that I was
modelli
I would recommend using the new Bayesian package 'LaplacesDemon' available
on CRAN.
Ben Bolker
Sent by: r-help-boun...@r-project.org
08/29/2011 02:50 PM
To
cc
Subject
Re: [R] Bayesian functions for mle2 object
Billy.Requena gmail.com> writes:
>
> Hi
Billy.Requena gmail.com> writes:
>
> Hi everybody,
>
> I'm interested in evaluating the effect of a continuous variable on the mean
> and/or the variance of my response variable. I have built functions
> expliciting these and used the 'mle2' function to estimate the coefficients,
> as follows:
Hi everybody,
I'm interested in evaluating the effect of a continuous variable on the mean
and/or the variance of my response variable. I have built functions
expliciting these and used the 'mle2' function to estimate the coefficients,
as follows:
func.1 <- function(m=62.9, c0=8.84, c1=-1.6)
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