similar to: How to see the content of geepack package

Dear all, I would like to plot credible interval for a function estimate in R. I would like to plot the credible intervals as shaded region using polygon function. Does anyone ever used that? I tried several times but I could not obtain the right figure. xis=sort(xi,decreasing=TRUE) plot(xi,fm) polygon(c(xi,xis),c(f05m,f95m)) The above piece of code produces something else. Many thanks in

Dear developers, I am trying to run some C/ Fortran code in R. Although I have experience with that in Windows (Vista) 32 bit, I could not succeed in 64 bit. I downloaded the following: - R 2.12.0 - Rtools 212 - miktex 2.9 - inno setup 5 -Afterwards, I changed the path as: ?C:\Program Files\R\R-2.12.0\bin;C:\Rtools\bin;C:\Rtools\MinGW64\bin;C:\Program Files\HTML Help Workshop;C:\Program Files

Dear all, I have a problem in calling my C code from R. If I do not need to use #include<R.h>, the codes work properly. But when I need to use it, my codes produce an error as: logpostCLM.cpp:7:15: error: R.h: No such file or directory logpostCLM.cpp:8:24: error: Rinternals.h: No such file or directory logpostCLM.cpp:9:19: error: Rmath.h: No such file or directory logpostCLM.cpp:10:24:

Hi Does anyone know how to install geepack on fedora 16 - 64bit - R google only yields a couple of hits with unanswered Q Installation just throws an error with an undefined symbol. Previous version won't load due to lack of NAMESPACE. Sadly, its a show stopper w.r.t. upgrading my work PCs Any hints/suggestions most welcome Thanks Cheers Peter

Hello R Forum members. I have installed for my statistician user, apparently without error, both the concord and geepack packages. The target system is R 2.10.1 on a 64-bit RedHat Enterprise Linux platform. However when she attempts to invoke a function in geepack, for example... geeglm((abuse_total ~ case),id=mother, family="poisson") the resultant error is Error: could not find

I'm using the package geepack to fit GEE models. Does anyone know of methods for add1 and drop1 for a 'geeglm' model object, or perhaps a method for extractAIC based on the QIC of Pan 2001? I see there has been some mention of this on R-help a few years ago (RSiteSearch("QIC")). The package does provide an anova method for its model objects, and update() seems to work:

Hi all I am analyzing a data set containing information about the behaviour of marine molluscs on a vertical wall. Since I have replicate observations on the same individuals I was thinking to use the geepack library. The data are organised in a dataframe with the following variables Date = date of sampling, Size = dimensions (mm) Activity duration of activity (min) Water = duration of

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I downloaded geepack from your site and installed it from the zip file. However, although it appears under my library directory, I could not load into R. Regards John Sendak platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 6.0 year 2002 month 10

I have included data at the bottom of this email. It can be read in by highlighting the data and then using this command: dat <- read.table("clipboard", header = TRUE,sep="\t") I can obtain solutions with both of these: library(gee) fit.gee<-gee(score ~ chem + time, id=id, family=gaussian,corstr="exchangeable",data=dat) and library(yags) fit.yags <-

Hi there, I just installed the package under windows, and it works very well. However, as I tried to install it on a cluster which uses linux OS, "Linux lionxc.aset.psu.edu 2.6.18-194.el5 #1 SMP Tue Mar 16 21:52:39 EDT 2010 x86_64 x86_64 x86_64 GNU/Linux" I always failed. The message during the installation process is as follows: > install.packages("geepack") Warning

Dear R-users, I was doing some Poisson regression using the geepack package and I found a "strange" behaviour of the geeglm command when defining an offset. Maybe it's my limited knowledge of R syntax, or maybe it's something else. Let's make an example. After loading the geepack library, you may write

Hi, I downloaded both gee and geepack, and I am trying to understand the differences between the two libraries. I used the same data and estimated the same model, with a correlation structure autoregressive of order 1. Surprisingly for me, I found very different results. Coefficients are slightly different in value but sometimes opposite in sign. Moreover, the estimate of rho (correlation

Hello, I am interested in running generalized estimating equation models in R. Currently there are two main packages for doing so in R, geepack and gee. I understand that even though one can obtain similar to almost identical results using either of the two, that there are differences between the packages. The paper that introduces the geepack package (

Hi, having used both the gee pacakge and the geepack package, i am unsure of how to interpret the results. Here are the results from the geeglm function from the geepack package > gee2<-geeglm(data$erythema~data$product, data = data, id=subject, > family=binomial, corstr="independence") Warning message: In model.response(mf, "numeric") : using

Good evening, In my research I am studying the marginal models, where the main goal is on the structure of the association. My practical example has cluster with up to 600 observations and with this database, the function geese() return me the following message: This application has requested the runtime to terminate it is on unusual way. Please contact the application’s support team

Hi, In my research I am studying the marginal models, where the main goal is on the structure of the association. My practical example has cluster with up to 600 observations and with this database, the function geese() return me the following message: This application has requested the runtime to terminate it is on unusual way. Please contact the application’s support team for more

*H*i, I am trying to fit a GEE model with *geeglm* function. The model is the following: Modelo<-geeglm(sqrt ~Tra+ Mes, id=Lugar , data=datos, family=gaussian(identity), corstr="independence") *Tra( is a experimental treatment, 2 levels)*, *Mes* (is the month of take data, 4 levels) and *Lugar* (is the site of study, 3 levels) are categorical variables and *sqrt* (sqrt of Total

In the below code fragment, print(arg) always prints the last element of rekeningen$rekening. Is this because of lazy evaluation? I.e. arg is evaluated at the time the button is pressed? And, if so, how can I avoid this? I tried function() {force(arg); print(arg)} but that didn't work either. Thanks, Jeebee. for(rek in seq(1,nrow(rekeningen))) { arg <- rekeningen$rekening[rek]

I have a generalized linear model to solve. I used package "geepack". When I use the correlation structure "unstructured", I get a messeage that- R GUI front-end has stopped working. Why this happens? What is the solution? The r codes are as follows: a<-read.table("d:/bmt.txt",header=T")