Dear all,
I am trying to model variation of distribution of species assemblages
according to environmental variables. For that I use a log linear
multinomial regression.
In order to select variables that mostly discriminate the assemblages, I
tried to apply a hierarchical partitioning protocol to my data set.
For that I have adapted the all.regs() for multinomial model.
The problem is that I couldn't adapt partition() as I don't manage to
access the C code ("hierpart") which is called in this function. This
is
a black box for me.
When I run partition() with the Log Likelihood values obtained for the
hierarchy of multinomial model, I obtain negative values for Independenr
contribution.
This suggest that there is a bug somewhere in my protocole.
I suppose that I missused partition(). Maybe my log lokelihood
(multinomial one) is not appropriate.
As someone had ever met this problem and could help me?
Many thanks
Am?lie
Hello,
I iterate my question concerning hierarchical partitioning: Is it
possible to run that for a multinomial model?
I have adapted the function hier.part ("hier.part" package) to my
multinomial model. I met a problem with the partition() function: I
obtain NEGATIVE Independent contributions!
It seems to be a huge error!
Unfortunately, I cannot access the script as it calls a C code.
Consequently this function is a black box for me.
Could anyone help me? I really need to investigate this independent
contributions!
Thanks a lot,
Am?lie Vaniscotte (Phd)
Department of Environmental Biology
UsC INRA EA3184MRT
Institute for Environmental Sciences and Technology
University of Franche-comt?
Place Leclerc, 25030 Besan?on cedex
FRANCE
Tel. : +33 (0)381 665 714
Fax : +33 (0)381 665 797
E-m at il: amelie.vaniscotte at univ-fcomte.fr
http://lbe.univ-fcomte.fr/