[R-sig-Geo] Moran's I negative binomial generalized linear model

[Wild Life]

Yes I know the work of Jacqmin-Gadda et al. (1997) which proposes the
use of a new statistic T.
However, more recent work of Lin and Zhang (2007) uses the test of
Moran's I to access the autocorrelation of residuals.
I'm more interested in using this approach, which has been used by
several authors.
The question would be if I should calculate the test using a sparse
matrix (lm.morantest) since it's on residuals or if I should calculate
it by the normal way (moran.test) as suggested by Lin and Zhang
(2007).

Many thanks for the reply.

Regards,

António Silva


On Tue, Apr 20, 2010 at 11:15 AM, Roberto Patuelli
<roberto.patuelli at usi.ch> wrote:
> Dear Antonio,
> You may want to look at Jacqmin-Gadda et al. (1997), Tests of Geographical
> Correlation with Adjustment for Explanatory Variables: An Application to
> Dyspnoea in the Elderly, Statistics in Medicine 16, 1283-97.
> Cheers
> Roberto
>
> ****************************
>
> Dear list,
> I'm interested in testing the spatial autocorrelation of the residuals
> of an negative binomial generalized linear model (glm.nb) using
> Moran's I test.
> My question is about the best method to do this. Can I use the
> function lm.morantest? Or is there another more appropriate way?
>
> Regards,
>
> Antonio Silva
>
> ********************
> Roberto Patuelli, Ph.D.
> Istituto Ricerche Economiche (IRE) (Institute for Economic Research)
> Università della Svizzera Italiana (University of Lugano)
> via Maderno 24, CP 4361
> CH-6904 Lugano
> Switzerland
> Phone: +41-(0)58-666-4166
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> Email: roberto.patuelli at usi.ch
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>
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