Dear all, I'm currently using a logistic regression model for my dataset, which has a binary outcome of 0 or 1. I've looked at the residuals, which are spatially autocorrelated, so I want to do an autologistic regression model to remove any residual correlation. I've been looking online, and it seems there are not yet any packages with such a function. I've found references to Rcitrus which seems like it should be of use, but the package doesn't seem to be available at the moment for some reason. I have also seen reference to the stLattice package which is under construction. I'm a novice to this type of analysis, so I'd really appreciate any input as to which would be the most suitable package, or any other advice. I have considered using geoRglm, but am a reluctant as I tried it previously and found it a bit too involved for a beginner such as myself! Thanks, Nicola -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://stat.ethz.ch/pipermail/r-sig-geo/attachments/20090114/93ebe0e1/attachment.html> -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-sig-geo/attachments/20090114/93ebe0e1/attachment.pl>
autologistic model in R
3 messages · Nicola Batchelor, Paulo Justiniano Ribeiro Jr, Kamran Safi
Nicola Rcitrus and stLattice are "unofficial" packages mantained by Elias Krainski and available from links at www.leg.ufpr.br. Rcitrus implements a simple autologistic model motivated by the need to analyse date from citrus fields using such model. It also implements some other methods commonly used for such analysis such as quadrat counts, Taylor Law, some simulation algorithms. The documentation is only available in Portuguese and, although available, it is unlike to be turn into an official R package. stLattice is meant to generalise the function to fit autologistic model via the key fnction aglm(), turning it into a more flexible and general setup for such models, including possibilities to specify time lags and "auto" and "non-auto" spatial covariates via a lag() function to be used in the formulae. This is working in progress but some functionality is alread available and the Session " Paper Companions" at the LEG web page has an example code used in a paper. Hope this helps and you can contact us via the email available at the page for further details Best P.J. Paulo Justiniano Ribeiro Jr LEG (Laboratorio de Estatistica e Geoinformacao) Universidade Federal do Parana Caixa Postal 19.081 CEP 81.531-990 Curitiba, PR - Brasil Tel: (+55) 41 3361 3573 Fax: (+55) 41 3361 3141 e-mail: paulojus AT ufpr br http://www.leg.ufpr.br/~paulojus
On Wed, 14 Jan 2009, Nicola Batchelor wrote:
Dear all, I'm currently using a logistic regression model for my dataset, which has a binary outcome of 0 or 1. I've looked at the residuals, which are spatially autocorrelated, so I want to do an autologistic regression model to remove any residual correlation. I've been looking online, and it seems there are not yet any packages with such a function. I've found references to Rcitrus which seems like it should be of use, but the package doesn't seem to be available at the moment for some reason. I have also seen reference to the stLattice package which is under construction. I'm a novice to this type of analysis, so I'd really appreciate any input as to which would be the most suitable package, or any other advice. I have considered using geoRglm, but am a reluctant as I tried it previously and found it a bit too involved for a beginner such as myself! Thanks, Nicola
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