similar to: Update of X2R (with FishGraph) at CRAN, 20 Nov 2008

X2R is a bundle of three software libraries allowing the user to pass structured data easily from Fortran, C/C++, or AD Model Builder to R. An update to X2R has been sent to CRAN and should be available at mirrors shortly. We also have uploaded FishGraph, a set of R functions to generate graphics from fish population models. From the menu at the left of the CRAN home page, look under Software /

X2R is a bundle of three software libraries allowing the user to pass structured data easily from Fortran, C/C++, or AD Model Builder to R. An update to X2R has been sent to CRAN and should be available at mirrors shortly. We also have uploaded FishGraph, a set of R functions to generate graphics from fish population models. From the menu at the left of the CRAN home page, look under Software /

We announce the availability of three related software libraries: C2R, ADMB2R, and For2R (together, X2R). Each contains output routines to simplify transfer of complicated data structures from models written in a compiled language to R. The user's data can be written as a structured ASCII file which, when read by R (note 1) with a single dget() function call, will become an R data object

We announce the availability of three related software libraries: C2R, ADMB2R, and For2R (together, X2R). Each contains output routines to simplify transfer of complicated data structures from models written in a compiled language to R. The user's data can be written as a structured ASCII file which, when read by R (note 1) with a single dget() function call, will become an R data object

X2R is a bundle of three software libraries allowing the user to pass structured data easily from Fortran, C/C++, or AD Model Builder to R. An update to X2R has been sent to CRAN today and should be available at mirrors shortly. This fixes a bug in the ADMB2R and C2R components in which data frames were not written correctly when the user did not specify row names. Several other minor

X2R is a bundle of three software libraries allowing the user to pass structured data easily from Fortran, C/C++, or AD Model Builder to R. An update to X2R has been sent to CRAN today and should be available at mirrors shortly. This fixes a bug in the ADMB2R and C2R components in which data frames were not written correctly when the user did not specify row names. Several other minor

A new version of X2R has just been uploaded to CRAN. It should be available at mirrors within a few days. This contains revisions to the For2R component to fix a bug in which data frames were not written correctly if the user did not pass row labels. The new version is supplied as files X2R.zip and X2R.tar.gz, which are equivalent. The version can be identified from the contents of file

A new version of X2R has just been uploaded to CRAN. It should be available at mirrors within a few days. This contains revisions to the For2R component to fix a bug in which data frames were not written correctly if the user did not pass row labels. The new version is supplied as files X2R.zip and X2R.tar.gz, which are equivalent. The version can be identified from the contents of file

We announce the availability of the Fortran 95 module "For2R", which makes it easy to write complicated R data structures (i.e., lists of lists, matrices, dataframes, ...) from Fortran programs. By a series of subroutine calls, program outputs can be written to a file readable by R with a single "dget" function call. This facilitates automated graphics generation and other

We announce the availability of the Fortran 95 module "For2R", which makes it easy to write complicated R data structures (i.e., lists of lists, matrices, dataframes, ...) from Fortran programs. By a series of subroutine calls, program outputs can be written to a file readable by R with a single "dget" function call. This facilitates automated graphics generation and other

I am trying to understand why syntax used by dput() to write rownames is valid (say, when read by dget()). I ask this because I desire to emulate its actions *reliably* in my For2R routines, and I won't be comfortable until I understand what R is doing. Given data set "fred": > fred id var1 1 1991 0.4388587 2 1992 0.8772471 3 1993 0.6230486 4 1994 0.2340929 5 1995

Hi All, Following Mike Praeger's posting on this list, I'm happy to pass on that AD Model Builder is now freely available from the ADMB Foundation. http://admb-foundation.org/ Two areas where AD Model builder would be especially useful to R users are multi-parmater smooth optimization as in larg scale maximum likelihood estimation and the analysis of general nonlinear random

De: Rubén Roa Enviado el: jueves, 17 de noviembre de 2011 9:53 Para: 'Users@admb-project.org' Asunto: Reporting a conflict between ADMB and Rtools on Windows systems Hi, I have to work under Windows, it's a company policy. I've just found that there is a conflict between tools used to build R packages (Rtools) and ADMB due to the need to put Rtools compiler's

Hi I'm trying to run an admb model from R by using the system () command. The admb model runs fine when running it from the admb command line or when using emacs. However when I try it with system() then R crashes every time. And I tried using the R command line and RGui and in both it crashes. I also tried it from different computers. What I do is I first set the directory where I keep

Dear R-list, I thought that I would let some of you know of a free R package, glmm.ADMB, that can handle mixed models for overdispersed and zero-inflated count data (negativebinomial and poisson). It was built using AD Model Builder software (Otter Research) for random effects modeling and is available (for free and runs in R) at: http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html I

Dear Dr Skaug and R users, just discovered glmm.admb in R, and it seems a very useful tool. However, I ran into a problem when I compare two models: m1<-glmm.admb(survival~light*species*damage, random=~1, group="table", data=bm, family="binomial", link="logit") m1.1<-glmm.admb(survival~(light+species+damage)^2, random=~1, group="table", data=bm,

7 Jan 09 Hello, I am using R version 2.7.0 in a Windows XP context. I am also using the glmm.admb package (created by Dave Fournier, Hans Skaug, and Anders Nielson) to run mixed-effects negative binomial models. To the best of my knowledge and ability, I have searched and studied the R-help, R-sig-mixed models, and ADMB NBMM for R (through Otter Research Ltd) list servs; R help

Hi, my name is Paula. Im trying to learn how to build an R package in Windows XP using a simple example which includes a C source code. The foo.c file is located in mypkg/src/foo.c. I used the command Rcmd build --force --binary [pkgpath]. The problem is when I install the zip file in R the function foo doesn?t exist. The result a recieved during the building process is copied below. I really

Hi R-users,   I intend to apply a mixed model on a set of longitudinal data, with a negative binomial distributed dependent variable, and after following the discussions on R help list I saw that more experienced people recommended using lmer (from lme4 pack), glmmPQL (from MASS) or glmm.admb (from glmmADMB pack)     My first problem: yesterday this syntax was ok, now I get this weird message (I

R glmmADMB question I am trying to use glmm.admb (the latest alpha version from the R forge website 0.6.4) to model my count data that is overdispersed using a negative binomial family but keep getting the following error message: Error in glmm.admb(data$total_bites_rounded ~ age_class_back, random = ~food.dif.id, : Argument "group" must be a character string specifying the