Displaying 20 results from an estimated 700 matches similar to: "compilation error when installing GLMMGibbs on SuSE Linux 8.2 (R v. 1.7.1)"
2003 Oct 08
1
Installing GLMMGibbs problems
Dear all;
Installing the GLMMGibbs package to my Solaris Unix box, I got an compiling
error:
ars.c:497:10: missing terminating " character
ars.c: In function `dump_arse':
ars.c:498: error: parse error before "mylesj"
.....
The compiling error was reported to the list on Jul 3, 2003. According to
Prof. Brain Ripley this is a known problem with the package and gcc 3.3,
2001 Aug 30
1
GLMMGibbs crashes on seeds data
Hi all
I know GLMMGibbs is still in beta but has anyone experienced (and
solved ;-) this problem?
I decided to look at the seeds example but I get a core dump on two
intel linux boxes and also a sun workstation. All are running R1.3.0
but different hardware/OS's so I think I've done something wrong
> library(GLMMGibbs)
> data(seeds)
> seeds$plate <- as.factor(1:21)
>
2002 Jan 19
1
correlated random effects in GLMMGibbs ?
Dear R-users,
I wondered if anyone has extended GLMMGibbs to include correlated
random effects, and if so, whether they would be willing to let me
use their code?
Jonathan Myles has no plans to extend glmm in this manner within the
foreseeable future.
With thanks,
Patty
--
--------------------------------------------------------------------------------
Assoc Prof Patty Solomon
2005 Dec 21
1
GLMMGibbs
Hello,
I am trying to use glmm() in library GLMMGibbs, but I don't seem to have
the package and it is not listed on CRAN.
Is it no longer supported? (I am using R 2.1.1 on Windows.)
Many thanks in advance for your help.
Regards,
Mark
The information contained in this e-mail is confidential and...{{dropped}}
2002 Jan 18
1
TeX error generated by R CMD CHECK
Hello,
can anyone explain the following error I get when trying to
use the CHECK command to check a new version of my pakcage under 1.4.0?
******
./R CMD check ~/GLMMGibbs.0.5.1/GLMMGibbs
* checking for working latex ... OK
* using log directory `/homef/jonm/R-1.4.0/bin/GLMMGibbs.Rcheck'
...
<Installs library, documentation, and then performs various tests,
including the example,
2000 Dec 15
0
Gibbs sampling in GLMMs: Beta testers required
Sort of a warning before I start: This post may be considered to
describe a rather amateurish approach to distributing software
which may annoy some people, but I sincerely hope it doesn't.
I've been working for some years with David Clayton on a project which
started life as
an S package but has now turned into an R library. It is (now)
called GLMMGibbs and estimates the parameters of
2002 May 23
1
Multilevel model with dichotomous dependent variable
Greetings-
I'm working with data that are multilevel in nature and have a dichotomous
outcome variable (presence or absence of an attribute). As far as I can
tell from reading archives of the R and S lists, as well as Pinheiro and
Bates and Venables and Ripley,
- nlme does not have the facility to do what amounts to a mixed-effects
logistic regression.
- The canonical alternative is
2005 Dec 15
1
generalized linear mixed model by ML
Dear All,
I wonder if there is a way to fit a generalized linear mixed models (for repeated binomial data) via a direct Maximum Likelihood Approach. The "glmm" in the "repeated" package (Lindsey), the "glmmPQL" in the "MASS" package (Ripley) and "glmmGIBBS" (Myle and Calyton) are not using the full maximum likelihood as I understand. The
2002 May 13
1
Spatio-temporal analysis of homicide rates
Dear R-listers,
I would like to carry out a very basic descriptive analysis of homicides
rates in Italy, taking into account both the spatial dimension (103
provinces) and the temporal dimension (10 years), but no covariates. In
practice, what I would like to do is to describe spatio-temporal variation
of homicide rates, identifying those combinations of province-year where
the homicide rate
2001 Oct 11
2
Where's MVA?
Hi All:
Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources.
Best wishes,
ANDREW
tseries: Package for time series analysis
Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6
Depends: ts, mva, quadprog
Date: 2001-08-27
Author: Compiled by Adrian
2002 Apr 12
1
summary: Generalized linear mixed model software
Thanks to those who responded to my inquiry about generalized linear
mixed models on R and S-plus. Before I summarize the software, I note
that there are several ways of doing statistical inference for
generalized linear mixed models:
(1)Standard maximum likelihood estimation, computationally intensive
due to intractable likelihood function
(2) Penalized quasi likelihood or similar
2006 May 18
9
How can you buy R?
Hi all,
This may seem like a dumb question, but I work for an entity that is soon
converting to XP across the board, and I will lose the ability to install
software on my own. The entity has a policy of only using software that has
been purchased and "properly licensed" (whatever that means).
This means I will soon lose the ability to use R at work - something I can't
do without
2002 Apr 01
2
writing a package for generalized linear mixed modesl
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
2001 Sep 12
0
Multilevel models with binary data
I have been using lme to model data with multiple nested random effects and
continuous response variables however I also have data with a binary
response variable, binomial errors and multiple levels of nesting of random
effects (e.g. site/block/quadrat/year), is there a package available which
will do this? Jim Lindsey's package "repeated" appears to be only able to
cope with 2
2001 Oct 26
2
glim and gls
Hello,
I would like to know if there is any package that allow us to fit
Generalized Linear Models via Maximum Likelihood and Linear Models using
Generalized Least Squarse in R as the functions glim and gls,
respectively, from S-Plus.
Also, anybody know if there is any package that fit Log-Linear Models
using Generalized Least Squares?
Any help will be very useful.
Thanks,
--
Frederico
2002 May 08
1
HGLM in R (was: writing a package for generalized linear mixed models)
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 proposal to study
2002 Feb 20
2
Code for bivariate Poisson regression?
Dear RHelpers,
Does anyone know of any R code to perform bivariate Poisson regression
(including random effects)?
Best wishes
Simon
Simon D.W. Frost, M.A., D.Phil.
Department of Pathology
University of California, San Diego
Antiviral Research Center
(Formerly: UCSD Treatment Center)
150 W. Washington St., Suite 100
San Diego, CA 92103
USA
Tel: +1 619 543 8080 x275
Fax: +1 619 298 0177
Email:
2002 Feb 13
0
glmms with negative binomial responses
I am trying to find a way to analyze a "simple" mixed model with two
levels of a treatment, a random blocking factor, and (wait for it)
negative binomial count distributions as the response variable. As far as
I can tell, the currently available R offerings (glmmGibbs, glmmPQL in
MASS, and Jim Lindsey's glmm code) aren't quite up to this. From what I
have read (e.g.
2006 Jul 13
2
package GLLMGibbs
Tried to look for package GLLMGibbs-(package for fitting mixed models by
Gibbs samppling contributed by Myles' and Clayton) in CRAN but not found
it, Does anybody know if it is still available?
thanks
Oarabile
2002 Apr 08
1
glmm
Hello,
I would like to fit generalized linear mixed models but I did not find
the package allowing such procedure.
R help under nlme package gives me "glmmPQL(MASS)" but this file does
not appear in contributed packages.
Thanks in advance for your answer.
Alexandre MILLON
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