similar to: ggmcmc 0.2 has been released

Hola, ¿Alguien me puede indicar cómo conseguir que un gráfico se adapte al formato DIN-A4, con su correspondiente verticalidad?. ¿Hay que hacerlo "manualmente" o existe algún parámetro/función que lo controle?. Gracias. Eva [[alternative HTML version deleted]]

Hello, I don't know if it's only me, but I can't get make.names() transform '_' in the way it is expected when I add the "allow_" option. A simple example trying to replicate the example provided in the help page gives: -----8<--------------- > make.names(c("a and b", "a_and_b"), unique=TRUE, allow_=FALSE) [1] "a and b."

Hi, I'm trying to do a multiple events model using coxph. I need to choose which covariates stay in the final model and i'm using anova but it seems that it doesn't work with robust variances as a error message appears when I try to do it: /PWPfit<-coxph(Surv(ini,fim,status)~Sexo+Transmissao+Regime+HAART+Drogas+Psi+ + CD4+CV+Neo+IO+cluster(idPARTICIPANTE)+strata(Estrato),data=PWP)

Hi Ajay: A casual search of google using terms like "MCMC", "Markov Chains", "Monte Carlo", and "tutorial" pulled up over 4000 hits. A few links that may interest you, I thought, like: http://csep1.phy.ornl.gov/CSEP/MC/MC.html http://www.stat.fi/isi99/proceedings/arkisto/varasto/gree0167.pdf http://www.maths.soton.ac.uk/staff/Sahu/utrecht/ ... and so

Does anyone know if there is a file size limit for inputting a SAS data set? The file size I am trying to import is 184 MB. The code is: >library("foreign") > > sashome<-"C:/Program Files/SAS Institute/SAS/V8" > input.data<-read.ssd( file.path("G:/DATA/Cam/ECPATH/FIM"),"tbm_c", + sascmd=file.path(sashome,"sas.exe")

Hello all, I am currently attempting to replicate data from a political science article that utilized a Markov chain transition model to predict voter turnout intention at time *t*; the data was separated into two different models based on whether prior intent was to vote or not to vote. The details don't really matter. Mostly I am curious how to run a Markov chain transition model in R,

Dear R Community, I am happy to introduce the latest version 1.3-0 of the 'dclone' R package. The package provides low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS. Data cloning is a global optimization approach and a variant of

Dear R Community, I am happy to introduce the latest version 1.3-0 of the 'dclone' R package. The package provides low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS. Data cloning is a global optimization approach and a variant of

NIMBLE version 0.6-2 has been released on CRAN and at r-nimble.org. NIMBLE is a system that allows you to: - Write general hierarchical statistical models in BUGS code and create a corresponding model object to use in R. - Build Markov chain Monte Carlo (MCMC), particle filters, Monte Carlo Expectation Maximization (MCEM), or write generic algorithms that can be applied to any model. -

NIMBLE version 0.6-2 has been released on CRAN and at r-nimble.org. NIMBLE is a system that allows you to: - Write general hierarchical statistical models in BUGS code and create a corresponding model object to use in R. - Build Markov chain Monte Carlo (MCMC), particle filters, Monte Carlo Expectation Maximization (MCEM), or write generic algorithms that can be applied to any model. -

> I make a study in health econometrics and have a categorical > dependent variable (take value 1-5). I would like to fit an ordered > probit or ordered logit but i didn't find a command or package who > make that. Does anyone know if it's exists ? R is very fancy. You won't get mundane things like ordered probit off the shelf. (I will be very happy if someone will show

Hi, I have a data-matrix: > PID sato hrs fim health 214 3 4.376430 6.582958 5 193 6 4.361825 3.138525 6 8441 6 4.205771 3.835886 7 7525 6 4.284489 3.245139 6 6806 7 4.168926 2.821833 7 5682 7 1.788707 1.212653 7 5225 6 1.651463 1.436980 7 4845 6 1.692710 1.267359 4 4552 5 1.686448 1.220539 6

I know of no existing functions for estimating the parameters of this model using MCMC or MML. Many years ago, I wrote code to estimate this model using marginal maximum likelihood. I wrote this based on the using nlminb and gauss-hermite quadrature points from statmod. I could not find that code to share with you, but I do have code for estimating the 3PL in this way and you could modify the

Cordial Saludo.Deseo sacar los datos resultado de una encuesta en mysql procesarlos en r con el paquete de lógica difusa y proyectarlos en una pagina web dinámica.... de preferencia una solución multiplataforma... Linux. Windows. Necesito la mejor solución... Ya que encuentro muchos paquetes en r que podrían servir pero no estoy seguro... No se si un server web ejecute r eficientemente usando

Package: mcgibbsit Title: Warnes and Raftery's MCGibbsit MCMC diagnostic Version: 1.0 Author: Gregory R. Warnes <gregory_r_warnes at groton.pfizer.com> Description: mcgibbsit provides an implementation of Warnes & Raftery's MCGibbsit run-length diagnostic for a set of (not-necessarily independent) MCMC sampers. It combines the estimate error-bounding approach of Raftery

Package: mcgibbsit Title: Warnes and Raftery's MCGibbsit MCMC diagnostic Version: 1.0 Author: Gregory R. Warnes <gregory_r_warnes at groton.pfizer.com> Description: mcgibbsit provides an implementation of Warnes & Raftery's MCGibbsit run-length diagnostic for a set of (not-necessarily independent) MCMC sampers. It combines the estimate error-bounding approach of Raftery

Hi all, I have experimented a segmentation fault error using RMySQL_0.4-6 library in R 1.5.1. Look the sequence: ------------------------------------------- > library(RMySQL) > m <- dbManager("MySQL") > m <MySQLManager:(1137)> > describe(m) <MySQLManager:(1137)> Driver name: MySQL Max connections: 10 Conn. processed: 0 Default records per

Hi, >Is this the machine that you cannot set the permissions on ? Yes. >If so, what is the filesystem ? Ext4 for SO and Ext4 for shared files, but I have created a pool ZFS on this last filesystem (/dev/vdb1). Dispositivo Inicializar In?cio Fim Setores Tamanho Id Tipo /dev/vda1 * 2048 62912511 62910464 30G 83 Linux Disco /dev/vdb: 5 TiB, 5497568624640 bytes,

We were promised this package last spring but I can't find it anywhere! Does anyone have any info? Thanks. >From RNews: "Umacs (Universal Markov chain sampler) is an R package (to be released in Spring 2006) that facilitates the construction of the Gibbs sampler and Metropolis algorithm for Bayesian inference ..." -- View this message in context:

Hi, I have a dataset with the binary outcome Y(0,1) and 4 covariates (X1,X@,X#,X$). I am trying to use MCMClogit to model logistic regression using MCMC. I am getting an error where it doesnt identify the covariates ,although its reading in correctly. The dataset is a sample of actual dataset. Below is my code: > ####################### > > > #retreive data > # considering four