Hi,
In that case you will be optimizing everything, modelfree models and tensor,
at the same time, correct? So, the optimization will run not only on the
diffusion tensor parameters but also on the nature of the diffusion model
itself, is this it?
Regards
TP

-----Original Message-----
From: [email protected] [mailto:[email protected]] On
Behalf Of Edward d'Auvergne
Sent: segunda-feira, 14 de Dezembro de 2009 15:46
To: Tiago Pais
Cc: [email protected]
Subject: Re: AIC to select diffusion model

Hi,

I haven't found a way to make this totally obvious yet.  To select
between these global models, you need to set up the global model.  For
this, the diffusion tensor should not be fixed.  If not fixed, then
the tensor is part of the model and all the model-free models for all
spins are linked together with the diffusion tensor into the one
global model.  So for each data pipe containing the selected
model-free models, you just need to call the user function:

relax> fix('all', fixed=False)

I hope this helps!

Regards,

Edward



2009/12/14 Tiago Pais <[email protected]>:
> Hello everyone,
>
> Can anyone help me on how to use AIC to select between diffusion models
> instead of model free models (modelsel.py). Couldn't find any sample
script
> that would give me a clue on this.
>
> Best regards
>
> TiagoP
>
>
>
> **************************************
>
> Tiago Pais, PhD. student
>
> Cell Physiology & NMR
>
> Instituto de Tecnologia Química e Biológica-Oeiras
>
>
>
> _______________________________________________
> relax (http://nmr-relax.com)
>
> This is the relax-users mailing list
> [email protected]
>
> To unsubscribe from this list, get a password
> reminder, or change your subscription options,
> visit the list information page at
> https://mail.gna.org/listinfo/relax-users
>
>


_______________________________________________
relax (http://nmr-relax.com)

This is the relax-users mailing list
[email protected]

To unsubscribe from this list, get a password
reminder, or change your subscription options,
visit the list information page at
https://mail.gna.org/listinfo/relax-users

Reply via email to