search for: hglm

...intern=TRUE)) However, this only seems to work partially. It does prevent the check from failing with an error that the package doesn't exist: *BUT* when the examples are actually run, I get results like this (this is from the 'agridat' package, which "Suggests:" the hglm package, which has hence been installed in the 'libdir' directory). [168] "168: Loading required package: hglm" [169] "169: Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :" [170] "170: there is no package called ?h...

Apologies for continuing to ask about this but . . in my quest to fit a gamma GLMM model to my data (see partial copy of thread below), I'm exploring using hglm today. The question of the day has to do with the errors I'm currently getting from the hglm package. Can hglm handle a model with nested random effects? I don't see an example of one of those in the package documentation. If it can, can anyone tell me what these errors are trying to tell m...

I wonder if someone has tried to implement the hierarchical generalized linear model (HGLM) approach of Lee and Nelder (JRSSB, 1996, 58: 619-56) in R. Thanks in advance. Emmanuel Paradis At 17:18 01/04/02 +0100, ripley at stats.ox.ac.uk wrote: >On Mon, 1 Apr 2002, Jason Liao wrote: > >> Happy new month, everyone! >> >> I am planning to write a NIH grant proposa...

...hat this maybe the reason that I can't get the similar results) below is my SAS codes: proc mixed data=test covtest empirical; class pair grade team school; model score = trt pair grade school/ solution covb ddfm=bw ; random int / sub=team solution type=un; run; I have tried both lmer and hglm, but non of them works. Could anyone tell me how can I covert this SAS codes to R? Thanks -- View this message in context: http://r.789695.n4.nabble.com/HLM-Model-tp3242999p3242999.html Sent from the R help mailing list archive at Nabble.com.

...prior weights are simply 1 and can be ignored. This quasi-likelihood approach for a ratio was given by Wedderburn (1974) (see McCullagh and Nelder, 1989, Sec 9.2.4). BTW random effects with a beta distribution included in the linear predictor via a link function such as the logit can be fitted as a HGLM (Hierarchical Generalized Linear Model)(Lee and Nelder, 1996, 2001) for binomial data (i.e. considered binomial conditional on the random effects). Only the GenStat package is set up to fit HGLMs (as far as I know). (L & N, 1996, J.R.Statist.Soc B 58, 619-678; L & N 2001 Biometrika 88, 987-...

*Dear R-help: My name is Rodrigo and I have a question with nlme package in R to fit a mixed beta regression model. The details of the model are: Suppose that:* *j in {1, ..., J}* *(level 1)* *i in {1, ..., n_j}* *(level 2)* *y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij}) y_{ij} = mu_{ij} + w_{ij} * *with* *logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}

...ibution, the generalized inverse Gaussian distribution and the skew-Laplace distribution. Additional functionality is provided for the hyperbolic distribution, including fitting of the hyperbolic to data. * hergm (1.1-1) Michael Schweinberger http://crantastic.org/packages/hergm * hglm (1.0) Lars Ronnegard http://crantastic.org/packages/hglm The hglm package is used to fit hierarchical generalized linear models. It can be used for linear mixed models and generalized linear mixed models with random effects for a variety of links and a variety of distributions for both...

Hi all, I was trying to fit a Gamma hierarchical model using "glmer", but got weird error message that I could not understand. On the other hand, a similar call to the glmmPQL leads to results that are close to what I expect. I also tried to change tha "nAGQ" argument in "glmer", but it did not solve the problem. The model I was fitting has a simple structure - one

..., glmnet (1.4), gmm (1.3-2), gplots (2.8.0), gputools (0.21), gRain (0.8.5), grImport (0.6-1), gss (1.1-5), gsubfn (0.5-3), gtools (2.6.2), gWidgets (0.0-41), gWidgetsRGtk2 (0.0-67), gWidgetsrJava (0.0-19), gWidgetstcltk (0.0-38), gWidgetsWWW (0.0-19), hapassoc (1.2-4), hash (2.0.1), hergm (1.2-5), hglm (1.1.1), highlight (0.2-1), Hmisc (3.8-2), hopach (2.9.1), ibr (1.2.2), identity (0.2-1), ifultools (1.0-7), imprProbEst (1.0.1), impute (1.22.0), imputeMDR (1.1), inline (0.3.5), inlinedocs (1.1), intamapInteractive (1.0-9), intervals (0.13.2), introgress (1.2.3), ipw (1.0-5), isa2 (0.2.1), ismev...