similar to: glmmML package

Dear all, This question is basic but I am stumped. After running the below, I receive the message: "non-integer #successes in a binomial glm!" model1 <- glmmML(y~Brood.Size*Density+Date.Placed+Species+Placed.Emerging+Year+rate.of.parperplot, data = data, cluster= data$Patch, family=binomial(link="logit")) My response variable is sex ratio, and I have learned quickly not

Dear Any, I am trying to initialise Rjava with the objective of running ORCA within R. I am running R1.5.1 on Windows2000 and get the same problem with Sun Java run time jre-1.2.2_013 Java j2re-1.4.1_01 Microsoft Java Virtual Machine Build 3805 .JavaInit() is failing at : .C("s_start_VM", as.character(classPath), as.character(classPath),

Greetings. Here is sample code, with some comments. It shows how I can simulate data and estimate glm with binomial family when there is no individual level random error, but when I add random error into the linear predictor, I have a difficult time getting reasonable estimates of the model parameters or the variance component. There are no clusters here, just individual level responses, so

Dear R experts, Sorry, I am resending this, since I have not received this mail myself for the past 5 hours. I saw a similar question dated July 2. But there is no answer to it. Does anybody have a solution to it? I am using window NT, and the R version is 1.5.1, the SJava package is the binary version SJavaWin_0.62-8.zip. Here are the error message: > library(SJava) > .JavaInit()

A new version, 0.65-1, of glmmML is now on CRAN. It is a major rewrite of the inner structures, so frequent updates (bug fixes) may be expected for some time. News: * The Laplace and adaptive Gauss-Hermite approximations to the log likelihood function are fully implemented. The Laplace method is made the default. It should give results you can compare to the results from 'lmer' (for the

A new version, 0.65-1, of glmmML is now on CRAN. It is a major rewrite of the inner structures, so frequent updates (bug fixes) may be expected for some time. News: * The Laplace and adaptive Gauss-Hermite approximations to the log likelihood function are fully implemented. The Laplace method is made the default. It should give results you can compare to the results from 'lmer' (for the

Hello, I am a new R user, using version 1.5.1. I am attempting to run R programs from a dos command line (in win2000) and am having problems. My goal is to be able to use R from batch scripts in both windows and also in Linux eventually later. When I first ran "rcmd BATCH --help" it said that perl was not found. after installing perl and running again, I received the following error:

Hi, I have a spatial data set with many observations (~50,000) and would like to keep as much data as possible. There is spatial dependence, so I am attempting a mixed model in R with a spherical variogram defining the correlation as a function of distance between points. I have tried nlme, lme, glmmML, and glmmPQL. In all case the matrix needed (seems to be (N^2)/2 - N) is too large for my

Dear All, I have a pair of .cpp and .def file can be compiled using VC++ and works perfectly well in S-PLUS. I wanted to do the same for R; so I followed the guidline given in "Building from a source-code library under Windows" as much as possible and manage to compile them using VC++ and call it from R. But it gives different answer from the one called from S-Plus. I know that I did

Hello, Could someone please tell me why the following doesn't work: I have a file C:\Program Files\R\rw1051\etc\Renviron.site, which contains the line: R_LIBS= "C:/Jim/LocalR-Libraries/FromCran"; "C:/Jim/LocalR-Libraries/Cantata" >From the documentation, I gather that I have put this file in the default location, but to be safe I also explicitly set the R_ENVIRON

Hello everyone, I'm using R 1.5.1 on Windows. I chose the option 'Install Source Files' when installing R. The code below shows my use of the command SHLIB and the error I get. C:\R\rw1051\bin>Rcmd SHLIB C:\Stage 9 (Phase 2)\cir3int.f 'perl' is not recognized as an internal or external command, operable program or batch file. I'm assuming I'm missing some perl

Hello, I have a problem concerning estimation of GLMM. I used methods from 3 different packages (see program). I would expect similar results for glmm and glmmML. The result differ in the estimated standard errors, however. I compared the results to MASS, 4th ed., p. 297. The results from glmmML resemble the given result for 'Numerical integration', but glmm output differs. For the

I am trying to install packages, WHat i did is: options(CRAN= "http://cran.us.r-project.org/") install.packages("pakgs") However I got error message like: trying URL `http://cran.us.r-project.org//bin/windows/contrib/PACKAGES' Error in download.file(url = paste(contriburl, "PACKAGES", sep = "/"), : cannot open: HTTP status was `404' In

Hello: I'm trying to use Rcmd SHLIB to compile a single file, sann.c, to get sann.dll. I was able to get make libR.a to work, after going into MkRules and changing the line DLLTOOL=$(BINPREF)dlltool -k --as $(AS) to read DLLTOOL=C:/MINGW-1.1/bin/dlltool -k --as $(AS) But now I get: C:\rw1051\src\gnuwin32>Rcmd SHLIB sann.c make: make: Command not found make: *** [libR] Error 127

I have uploaded a new version (0.30-2) of glmmML to CRAN today. This is a rather extensive upgrade, mostly internal. Adaptive Gauss-Hermite quadrature (GHQ) is now used for the evaluation of the integrals in the log likelihood function. The user can choose the number of points (default is 16), I _think_ that choosing 1 point will result in a Laplace approximation. The integrals in the score and

I have uploaded a new version (0.30-2) of glmmML to CRAN today. This is a rather extensive upgrade, mostly internal. Adaptive Gauss-Hermite quadrature (GHQ) is now used for the evaluation of the integrals in the log likelihood function. The user can choose the number of points (default is 16), I _think_ that choosing 1 point will result in a Laplace approximation. The integrals in the score and

Hi! My Platform: Windows 2000 R version >1.5 Active Perl 5.6 Rtools at the start of the PATH. I am trying to build a package. The functions are written only in R (no C code). I am trying to proceed as described in R-exts.pdf But instead to get a build package i am getting (see below). At first glance it seems to me that i understand the output. At something similar i am looking most of my

Hello! I am using glmmML for a logitic regression with random effect. I use the posterior.mode as an estimate for the random effects. These can be very different from the estimates obtained using SAS , NLMIXED in the random with out= option. (all the fixed and standard error of random effect estimators are almost identical) Can someone explain to me why is that. The codes I use: R:

A new version of 'glmmML' (0.28-4) is uploaded to CRAN. The most important new feature is the possibility to get a p-value for the test of the hypothesis that the variance of the random effects is zero, on the wishlist of many R users these days! Note two things: (i) glmmML only treats random intercepts for binomial and poisson models, (ii) the p-value is calculated thru bootstrapping

A new version of 'glmmML' (0.28-4) is uploaded to CRAN. The most important new feature is the possibility to get a p-value for the test of the hypothesis that the variance of the random effects is zero, on the wishlist of many R users these days! Note two things: (i) glmmML only treats random intercepts for binomial and poisson models, (ii) the p-value is calculated thru bootstrapping