search for: georglm

Dear R users: I want to model mosquito count data based on landcover attributes and meteorological variables using a Poisson GLSM in the geoRglm package. I have monthly mosquito counts over more than 20 years with repeated observations from individual trap sites over time. I have used as.geodata() to successfully read my dataset into the geodata format utilized by geoR and geoRglm, including specification of the realisations. (I kno...

Dear R users. I'm trying to fit a generalised linear spatial mode using the geoRglm package. To do so, I'm preparing my data (geodata) as follow: geoData9093 = as.geodata(data9093, coords.col= 17:18, data.col=15,* covar.col=16*) where covar.col is a factor variable (years in this case 90-91-92-93)). Then I run the model as follow: / model.5 = list(cov.pars=c(1,1), cov.model...

Hello, I install R under Mandrake Linux 8.2. R itself work fine, but I had an error to install packages, i.e. fields, geoR and geoRglm : $: R CMD INSTALL geoRglm_0.4-3.tar.gz Installing *source* package `geoRglm' ... libs gcc-3.0.1 -I/usr/lib/R/include -I/usr/local/include -mieee-fp -D__NO_MATH_INLINES -fPIC -O3 -fomit-frame-pointer -pipe -mcpu=pentiumpro -march=i586 -fno-fast-math -fno-strength-reduce -c geoRgeoRglm.c...

Hello, I install R under Mandrake Linux 8.2. R itself work fine, but I had an error to install packages, i.e. fields, geoR and geoRglm : $: R CMD INSTALL geoRglm_0.4-3.tar.gz Installing *source* package `geoRglm' ... libs gcc-3.0.1 -I/usr/lib/R/include -I/usr/local/include -mieee-fp -D__NO_MATH_INLINES -fPIC -O3 -fomit-frame-pointer -pipe -mcpu=pentiumpro -march=i586 -fno-fast-math -fno-strength-reduce -c geoRgeoRglm.c...

Hi R-people: Working in geoRglm, it shows me, according to AIC criterion, that the non-spacial model describes the process in a better way. It's the first time that I'm facing up to. These are my results: OP2003Seppos.AICnonsp-OP2003Seppos.AICsp #[1] -4 (OP2003Seppos.lf0.p<-exp(OP2003Seppos.lf0$beta)/(1+exp(OP2003Se...

...39;t have any. Could this requirement be switched off and still use the mixed model approach? Alternatively, it may be possible to define the variance appropriately in gls and use logits directly, but I'm not quite sure how and suspect there's a more straight-forward alternative. Looking at geoRglm suggests there may be solutions here, but it seems like it might be overkill for what is, at first appearance at least, not such a difficult problem. Maybe I'm just being statistically naive, but I think I'm looking for a function somewhere between gls() and glmmPQL() and would be grateful...

Hi All, I'm trying to use the geoRglm package to run a poisson spatial glm on a dataset with several covariates. When I run without covariates I have no problems. control1.data.geo <- mcmc.control(S.scale=0.2, thin = 1) model1.data.geo <- list(cov.pars = c(1,1), beta=c(1), family="poisson") test1.model1 <- glsm....

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Dear R-users, I wondered if anyone has extended GLMMGibbs to include correlated random effects, and if so, whether they would be willing to let me use their code? Jonathan Myles has no plans to extend glmm in this manner within the foreseeable future. With thanks, Patty -- -------------------------------------------------------------------------------- Assoc Prof Patty Solomon

...escribe spatio-temporal variation of homicide rates, identifying those combinations of province-year where the homicide rate is either over- or underrepresented based on Poisson expectation. Is it possible to carry out such an analysis with R? If so, what package should be preferred? GLMMGibbs, geoRglm, and function glmmPQL in MASS package sound as possible choices to me, but I'm no expert of this kind of analysis and I'd much appreciate any indication. Thank you very much for any help and best regards, Maurizio Pisati <><><><><><><><>...

Sorry, this is probably quite an easy question, but I'm new to R and couldn't find the answer anywhere. I'm using geoR and geoRglm, but can't figure out how to get a border in my geodata object. Does this need to be defined when I'm importing my data, or afterwards, and how do I go about doing this? Thanks -- View this message in context: http://www.nabble.com/Geodata-object-border-tp18945947p18945947.html Sent from...

...There is much more exciting information, including news on R and spatial statistics, distributed computing, and bioinformatics. Contents: Time Series in R 1.5.0 Naive Time Series Forecasting Methods Rmpi: Parallel Statistical Computing in R The grid Graphics Package Lattice Programmer's Niche geoRglm: A Package for Generalised Linear Spatial Models Querying PubMed evd: Extreme Value Distributions ipred: Improved Predictors Changes in R Changes on CRAN Upcoming Events which makes a total of 44 pages. For the editorial board, Kurt Hornik -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-....

...There is much more exciting information, including news on R and spatial statistics, distributed computing, and bioinformatics. Contents: Time Series in R 1.5.0 Naive Time Series Forecasting Methods Rmpi: Parallel Statistical Computing in R The grid Graphics Package Lattice Programmer's Niche geoRglm: A Package for Generalised Linear Spatial Models Querying PubMed evd: Extreme Value Distributions ipred: Improved Predictors Changes in R Changes on CRAN Upcoming Events which makes a total of 44 pages. For the editorial board, Kurt Hornik -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-....

Dear All, I have a set of environental maps and presence-only points for some species. How can I generate distributions models on R using these presence-only data? What packages and functions can I use to do so? Kind regards, Miltinho Brazil [[alternative HTML version deleted]]

How do I cite a package (not R itself - I know how to do that)? Any thoughts or links? Many thanks in advance? Hank Stevens Dr. Martin Henry H. Stevens, Assistant Professor 338 Pearson Hall Botany Department Miami University Oxford, OH 45056 Office: (513) 529-4206 Lab: (513) 529-4262 FAX: (513) 529-4243 http://www.cas.muohio.edu/botany/bot/henry.html http://www.muohio.edu/ecology/

Hello, I would like to fit generalized linear mixed models but I did not find the package allowing such procedure. R help under nlme package gives me "glmmPQL(MASS)" but this file does not appear in contributed packages. Thanks in advance for your answer. Alexandre MILLON -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear R Help-Team, If I start R and type in search() the result is: [1] ".GlobalEnv" "package:ctest" "Autoloads" "package:base" I often need an Add-on-package. I can load it with "> library(package)" or include a require-command in the .First-function. The .First-function is fine, if I always use the same working directory. But I

...on in a response variable as a function of one or more of several explanatory variables. I am principally interested in obtaining some measure of the relative "importance" of the explanatory variables. I have found several R libraries that are tailored to this sort of problem (geoR, geoRglm, gstat, etc.); however, as near as I can tell, the appropriate functions (e.g., krige.bayes in geoR), only allow for linear modelling of the large-scale variation. In my case, covariate effects are probably nonlinear. Moreover, although there is theory to suggest the general form of some of...

Hi, Is there any package or functions in R that can perform tests and estimation for a spatial econometric model in a simultaneous system? Thank you!!! Xia Feng

...ot;for" loop ... however I'm having some trouble. Very briefly, the basic idea is to implement a binary partitioning algorithm to determine the optimal cutpoint based on deviance measures obtained from likelihood estiamtes. This is in the geo-spatial context so I'm actually using the geoRglm package to obtain this likelihood fit. I initially use the "variog" function to help specify the initial parameter values passed to "likfit" to ensure convergence. Although not the most elegant solution, the code works ... I just want to re-code it to avoid using the "for...