similar to: geese

Greetings, I would like to use a cubic spline or smoother to model the fixed effects within nlme. So far the only smoother I have been able to get to run successfully in nlme is smooth(). I tried smooth.spline: fixed=list(lKa~1,lCL~smooth.spline(BSA, df=3)) the error I got was the following. Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : invalid

Greetings, I have a simulation of a nonlinear model that is failing. But it does not fail til way into the simulation. I would like to look at the run that is failing and maybe I could if I could capture the seed for the failing run. The help file on set.seed says you can do it but when I tried rs<-.Random.seed print(paste("rs",rs,sep=" ")) I got 626 of them so I

Greetings, I used latex type code in my Rd files. The pdf version using R CMD Rd2dvi --output=PKtools.pdf --pdf --title="PKtools" PKtools man came out quite nice. However, my current HTML version does not tex the latex so there is latex code in the files and looks bad. example problem code: AIC$_c$ or \begin{itemize} \item NLME: \begin{itemize} \item population level:

Greetings, Does anyone know how to get an id number in the little header above each individual plot within a trellis plot? The default seems to be to print the word id and add a line indicating on a linear scale where the current id sits. Thanks in advance for any help you can send, Suzette ================================= Suzette Blanchard, Ph.D. Research Scientist Frontier Science

I am not able to download packages ("xtable") from CRAN not even just a .zip file, I get that the page can not be found. Please could you help? Suzette ================================= Suzette Blanchard, Ph.D. Research Scientist Frontier Science

Hi A quick question. Standard errors reported by gee/yags differs from the ones in geeglm (geepack). require(gee) require(geepack) require(yags) mm <- gee(breaks ~ tension, id=wool, data=warpbreaks, corstr="exchangeable") mm2 <- geeglm(breaks ~ tension, id=wool, data=warpbreaks, corstr="exchangeable", std.err = "san.se") mm3 <- yags(breaks ~

Dear all, We have got data (response and predictor variables) for each country of the world; I started by fitting standard GLM and tested for spatial correlation using variogram models (geoR) fitted to the residuals of the GLM. Spatial autocorrelation is significant. Therefore, I think about using general estimation equations (geeglm or geese in geepack) allowing for residual spatial

We are currently analyzing data on children clustered in day care-centers (DCC). We have tried to use geepack and gee libraries to estimate an overall incidence rate for absences (=number of absences/risk time) by specifying geese(number.absences ~ offset(log(risktime)), id=day.care.id, family=poisson("log"), data=dcc, corstr="exch",

Hello, Is it possible to derive Pan's QIC (2001 Biometrics 57:120) from either a fitted gee() object in the gee package or from a geese() fit in the geepack package? If so, would anyone be kind enough to provide me with code to do so? I realize that QIC is part of the output from yags() but I would like to use one of the other functions. Thanks. Richard

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

I am wondering how to estimate the survival curve for a particular case(s) given a coxph model using this example code: #fit a cox proportional hazards model and plot the #predicted survival curve fit <- coxph( Surv(futime,fustat)~resid.ds+strata(rx)+ecog.ps+age,data=ovarian[1:23,]) z <- survfit(fit,newdata=ovarian[24:26,],individual=F) zs <- z$surv zt <-

Hi All, This question was brought up some time ago but I never saw a reply so I'd like to bring it up again. When using ROracle package (version 0.5-5), I am unable to run any queries that are greater than 4000 characters in length. If I do, I get the following message: Error in oraPrepareStatement(con, statement, bind=NULL) : RS-DBI driver: (too long a statement -- it must has less than

Greetings, \Sexpr{} has worked on MikTex with earlier versions of R, I can not seem to get it to work with R-2.4.0. I run Sweave with MikTex using the following statement in Run under Accessories. latex -include-directory="C:\Program Files\R\R-2.4.0\share\texmf" "C:\Documents and Settings\Suzette\Desktop\MyFile\MyProgram.tex" Any advice would be much appreciated, Suzette

Hello, I want to fit a GEE with a user-defined link function. For the user-defined link-function I still read http://finzi.psych.upenn.edu/R/Rhelp01/archive/6555.html and http://finzi.psych.upenn.edu/R/Rhelp02a/archive/25727.html. Only for testing purposes I added a new link function (corlogit) in make.link (as well as in binomial) with exactly the same code as logit before using my code.

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

This is a summary and extension of the thread "GLMM (lme4) vs. glmmPQL output" http://maths.newcastle.edu.au/~rking/R/help/04/01/0180.html In the new revision (#Version: 0.4-7) of lme4 the standard errors are close to those of the 4 other methods. Thanks to Douglas Bates, Saikat DebRoy for the revision, and to G?ran Brostr?m who run a simulation. In response to my first posting, Prof.

I would like to add two horizontal lines representing acceptible drug levels to a trellis plot. I tried using abline and I get an error that "plot.new has not been called." See below. xyplot(FK~WEEK|Event1/MRN, data=FKdat.o1) abline(h=5) abline(h=10) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Any help that can be provided

Greetings, I implemented BRugs to run the EWOC model with a cohort size N=1. I output the simulation data using bugsdata(data), where data is the following list. > data $Dose [1] 140 $Y [1] 0 bugsdata(data) puts out the file data.txt as follows. list(Dose=1.40000E+02, Y=0.00000E+00) after I type the following line modelData("data.txt")

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