similar to: about MCMC pack

Hello, thank you very much for your previous answers about the C++ code. I am interested in the application of the Gibbs Sampler in the IRT models, so in the function MCMCirt1d and MCMCirtkd. I've found the C++ source codes, as you suggested, but I cannot find anything about the Gibbs Sampler. All the files are for the Metropolis algorithm. Maybe I am not able to read them very well, by the

Hello, does anyone know something about missing data in the MCMC pack? thank you, Mariagiulia Mariagiulia Matteucci Dipartimento di Scienze Statistiche ?Paolo Fortunati? Universit? di Bologna Via Belle Arti, 41 40126 Bologna (ITALY) e-mail: matteucci at stat.unibo.it TEL: +39 051 264182 FAX: +39 051 232153

Hi, I used the MCMCirtKd function of MCMCpack: posterior2 <- MCMCirtKd(data, dimensions = 2, + burnin = 5000, mcmc = 50000, thin = 10, + verbose = 10000, B0 = .25, store.item = TRUE, item.constraints = beta.constraints) And after apply the comand summary() I got some erros and warnings that I could not understand: summary.posterior2 <- summary(posterior2)

I am receiving the above error ( full r session output below) the script runs OK in windows. and "genotypes" and "ploidy" are both correct arguments any suggestions would be most welcome Nevil Amos MERG/ACB Monash University School of Biological Sciences > library(Geneland) Loading required package: RandomFields Loading required package: fields Loading required

Dear R users, I am leaning MCMC sampling, and have a problem while trying to sample exponential r.v.'s via the following code: samp <- MCMCmetrop1R(dexp, theta.init=1, rate=2, mcmc=5000, burnin=500, thin=10, verbose=500, logfun=FALSE) I tried other distribtions such as Normal, Gamma with shape>1, it works perfectly fine. Can someon

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

Dear All I try to use your R package MCMCpack and I have encountered the following problem: The following code works fine: library(MCMCpack) line <- list(X = c(-2,-1,0,1,2), Y = c(1,3,3,3,5)) posterior1 <- MCMCregress(X~Y, data=line) summary(posterior1) But as long as I try the following lines library(MCMCpack) line <- list(X = c(-2,-1,0,1,2), Y = c(1,3,3,3,5))

Full_Name: Lloyd Lubet Version: 2.4.1rc OS: XP Submission from: (NULL) (65.19.17.17) Dear Andrew, I am trying to learn gibbs sampling and Metropolis. When I run your gibbs version of multiple linear regression my session crashes. I have trimmed the dataframe and set my object.size = 1 gigB. Despite my best efforts it still crashes while advising me to contact the MCMC Pack developement team.

Dear All, I have a MCMC result in x1. I was wondering if there is a simpler, more elegant way of evaluating the estimate of an integral then this (I am pretty sure there is): Also if I want to count the x's say -1<x<2 but not the ones in the burn in period. [code] z <- -2 burnin <- 2000 int1 <-

Deal all, as MCMClogit does not allow for the specification of several chains, I have run my model 3 times with different random number seeds and differently dispersed multivariate normal priors. For example: res1 = MCMClogit(y~x,b0=0,B0=0.001,data=mydat, burnin=500, mcmc=5500, seed=1234, thin=5) res2 = MCMClogit(y~x,b0=1,B0=0.01,data=mydat, burnin=500, mcmc=5500, seed=5678, thin=5) res3 =

Hello! I often plot average of y instead of all y values, since one can easily see the trend if there is to many points and/or x might be like 1, 2, 3, 4, 5, ... and you might get a cloud (which can also be informative) and/or columns of points. Anyway, learning with R i get stucked. I have the data in table burnins1, with the following names: names(burnins1) [1] "Model"

Hi, I??m trying to use the Win2BUGS package from R and I have a similar problem that reurns with the message: Error in FUN(X[[1]], ...) : symbol print-name too long But, there is no stray ` character in the file ( Sugestions given by: Duncan Temple Lang <duncan> Date: Mon, 26 Sep 2005 07:31:08 -0700 ) The progam in R is: library(R2WinBUGS) library(rbugs) dat <-

Dear Users, I am new to both of things, so do not blame me too much... I am busy with semiparametric regression and use WinBUGS to sample posteriors. The code to call Winbugs is as follows: data <- list("y","X","n","m") #My variables inits.beta <- rep(0,K) inits.beta0 <- 0 inits <-

Hi, A question. When I run gelman.diag and gelman.plot with mcmc lists obtained from MCMCregress, the results are following. > post.R <- MCMCregress(Size~Age+Status, data = data, burnin = 5000, mcmc = 100000, + thin = 10, verbose = FALSE, beta.start = NA, sigma2.start = NA, + b0 = 0, B0 = 0, nu = 0.001, delta = 0.001) > post1.R <- MCMCregress(Size~Age+Status, data

Hi all, Does anybody have a hint on what may be going wrong in this R code? I mimic the sample code from the MNP developers but I seem unable to get the choice specific variables right. Thanks, Joan Serra > rm(list=ls()) > library(foreign) > small<-read.spss("small.sav") Warning message: small.sav: Unrecognized record type 7, subtype 13 encountered in system file. >

i am having problem running my own data. yesterday it was working just fine. today it is not. this is the code i was using as an example to follow. this code ALSO worked just fine yesterday, and is no longer working at all. i suspect it is a problem with either my computer or the software, at this point. if THIS won't even run.... something is wrong. i can assure you this isn't

I am currently testing species co-occurrence patterns using null models and the oecosimu() function within the vegan() package. My issue is that none of the methods appear to be the ones that I want. The methods listed are r0, r1, r2, r2dtable, swap, tswap. However, I want to know how to go about implementing fixed row algorithms, as suggested in Gotelli 2000 in Ecology. Also, the null models

Hi, my name is Julio, I'm trying to run a script, specifically with the siar package on R (I have attached the script) but the program collapses on during the run. The error message says: *** caught segfault *** address 0xb31941cc, cause 'memory not mapped' Traceback: 1: .C("siarmcmcv4", as.integer(numdata), as.integer(numsources), as.integer(numiso),

Hi, I am trying to use WinBUGS using R, but i am having some problems using bugs function: out <- bugs(data = win.data, inits = inits, parameters.to.save = params, model.file = "model.txt", n.thin = nt, n.chains = nc, n.burnin = nb, n.iter = ni, debug = TRUE, DIC = TRUE, working.directory = getwd()) ls() WinBUGS file is in working directory=D:/Line/documents but R looks for

I'm having difficulty running R2WinBugs on a setup that previously worked for me (Dell Laptop, Windows XP service pack 3, R 2.11.1, WinBugs 1.43) . When I issue the following command smds.sim <- bugs (data, inits, parameters, "SMDSbrandLoc2.bug", debug = T, n.thin = n.thin, n.chains = n.chains, n.burnin = n.burnin, n.iter = n.iter) I get the following error in R