search for: glme

Hi All, does anyone know if the package GLME by J. Pinheiro is available anywhere in any form? checking on the archive I got that it was at some point, as as a beta version (for S-Plus only, alas)... Cheers, Federico ========================= Federico C.F. Calboli Department of Biology University College London Room 327 Darwin Building G...

Hello! could you give me some advice where i can finde out/recieve/download a GLME package, written by Jose Pinheiro. i couldn'ti find it in the package lists (probably becouse it is still in a beta version). thank you for your replay

Hi, Is there an R library that has the same functionalities of Splus7.0+ library correlatedData? I'd appreciate any input. Hakan Demirtas [[alternative HTML version deleted]]

...0 1.13 0.00 Is there an alternative / better way to test for the significance of the squared term (i.e., other than an LLRT as I have set it up?) 3) How can I assess the significance of contrasts between different levels of the categorical predictor (i.e., b1)? I am used to the summary.glme command in S+ 8.0, which generates: parameter estimates, parameter standard errors, t values, and p-values (describing the significance of the t values) for each level of a categorical predictor, compared to the reference level for that predictor. In a manner similar to summary.glme, would...

...GLMM. I will have a paper in June issue of Bioemtrika. REML estimation has the same asymptotic property as standard MLE but less bias for finite samples. Of course, one can argue that Bayesian formulation automatically generates REML for variance components. Now the software. PQL and variations: GLME in beta by José Pinheiro, reglm by Gordon Smyth, glmmPQL in package MASS by Venables & Ripley Bayesian method: GLMMgibbs and BUGS (not a R or S-plus package). Standard MLE: glmm (only a random intercept) in one of Jim Lindsey's packages? Ok, this still leaves us without a good way o...

Happy new month, everyone! I am planning to write a NIH grant proposal to study ways to speed Monte Carlo based maximum likelihood algorithm for hierarchical models with a focus on generalized linear mixed models (GLM with random effects). I thought it would be nice and also increase the chance of funding if I could produce an R package in the process. I understand that Prof. Pinheiro ang Bates

...uld produce an R package in the process. I understand >> that Prof. Pinheiro ang Bates have produced LME for linear mixed models >> and NLME for non-linear mixed models. But these do not fit logistic >> mixed models or Poisson mixed models. SAS Proc NLMIXED can fit simple > >GLME (beta, S-PLUS only) does. > >> logistic or Poisson mixed models but the syntax is not specific for >> generalized mixed models. There can be only one level of random >> effects. STATA version 7 can fit random intercept models but not more. >> There are also some standalon...