my first analysis
with geoRglm was my first ever introduction to geostatistics and spatial
modelling...perhaps I am being overambitious!
Many thanks in advance,
Nicola Batchelor
University of Edinburgh and University of Southampton
___
R-sig-Geo mai
in,
Nicola
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
-Original Message-
From: Danlin Yu [mailto:y...@mail.montclair.edu]
Sent: 24 March 2010 17:14
To: Nicola Batchelor
Cc: r-sig-geo@stat.math.ethz.ch
Subject: Re: [R-sig-Geo]
ps I am being overambitious!
Many thanks in advance,
Nicola Batchelor
University of Edinburgh and University of Southampton
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
___
R-sig-Geo maili
Dear list,
I've been using geoRglm for parameter estimation and spatial predictions
for a disease dataset along with 3 predictor variables.
I just have a quick question about the option sim.predict in
output.glm.control - am I correct in thinking that when this is set to TRUE,
you end up with
Dear list,
I'm using geoRglm with the log link function and a number of covariates.
I'm having convergence and mixing problems with my MCM algorithms and my
supervisors and I have come up with a few suggestions for what the problem
could be (I'm a novice geostatistician and R-user). I was wond
Hi Ken,
I've also been using geoRglm for similar analyses, and found the prediction
to be a bit fickle when it comes to the prediction grids!
I was having similar problems to yours and the only thing that I could do to
make it work was to alter the way I made my prediction grids. How are you
c
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, a
