similar to: Dynamic random effects model

Dear I am trying to find a 90% credible interval. I am using the following code. fit<-bugs( model.file=BUGScode, data=data, inits = list(geninits1,geninits2), parameters.to.save=keepers, n.chains=nchains, n.iter=runs, n.burnin=burn, n.thin=nthin, DIC= TRUE, bugs.directory="C:/Program Files/WINBUGS.14", \ ) But this is only giving 95%

Hi all, can the glm package be used to estimate a logit model to panel data? I am asking this because stata has a standard logit model and then an xtlogit for longitudinal data. Is there something similar in R? Thank you jcm [[alternative HTML version deleted]]

the version 2 parser thinks I have unnecessary braces, but I can't find any. False positive or am I missing something? If a false positive, is there any way to work around the warning? * checking Rd files against version 2 parser ... WARNING Warning: ./man/dbetabinom.Rd:32-34: Unnecessary braces at ?{p(x) = % (C(N,x)*Beta(N-x+theta*(1-p),x+theta*p))/% Beta(theta*(1-p),theta*p)}?

with the following simple data frame dd = structure(list(z = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L ), .Label = c("a", "b"), class = "factor"), x = c(0.3, 0.2, 0.1, 0, 0, 0, 0.2, 0.3)), .Names = c("z", "x"), row.names = c(NA, -8L), class = "data.frame") I would like know if it's possible to use model.matrix() to construct the

I have an optimization question that I was hoping to get some suggestions on how best to go about sovling it. I would think there is probably a package that addresses this problem. This is an ordering optimzation problem. Best to describe it with a simple example. Say I have 100 "bins" each with a ball in it numbered from 1 to 100. Each bin can only hold one ball. This optimization is

I am having difficulty with evaluation/environment construction for a formula to be evaluated by model.matrix(). Basically, I want to construct a model matrix that first looks in "newdata" for the values of the model parameters, then in "object at data". Here's what I've tried: 1. model.matrix(~f,data=c(newdata,object at data)) -- fails because something (terms()?)

Is there a reason that Reduce() doesn't take a "..." argument that would allow arbitrary extra arguments to be passed through to the function? Here is a little example of how this would be convenient: z <- list( data.frame(state=c("California"), cases=0), data.frame(state=c("California","Massachusetts"),

From: Vitalie S. <vitosmail <at> rambler.ru> Subject: Bug in cut.POSIXt Newsgroups: gmane.comp.lang.r.general Date: 2009-10-15 15:47:48 GMT (1 hour and 29 minutes ago) Hello Everyone, Before reporting decided to post here first: tt <- structure(c(1254238817, 1254238859, 1254238969, 1254239080), class = c("POSIXt",

Consider the following situation: we have quantified algal concentrations for a variety of species using many samples at each of three years. It seems to make sense to generate a line plot (matplot-like), with each species plotted as a separate line, with the points connected to emphasize the temporal pattern. The problem: lots of overlapping error bars. The question: from both a

Hi, I'm trying to install rjags and R2jags with R version 2.14.1 (2011-12-22) on Linux Mint 12 machine using software repository: deb http://cran.fhcrc.org/bin/linux/ubuntu oneiric/ jags seems to install OK, but rjags gives a weird error about not finding fprec symbol. Here is a history of the problem including several attempts to work around it. (Because of Ben Bolker's recent

I have found the "simulate" method (incorporated in some packages) very handy. As far as I can tell the only class for which simulate is actually implemented in base R is lm ... this is actually a little dangerous for a naive user who might be tempted to try simulate(X) where X is a glm fit instead, because it defaults to simulate.lm (since glm inherits from the lm class), and the

Hi, I havw some porblem in R and i need your help. I have this vector and I want to change it to date. for example G=[05 12 2008] or g=[2] f=[3] y=[2208]

There is a thread on this topic already: http://finzi.psych.upenn.edu/Rhelp10/2010-August/250934.html I'm rather mystified by a similar problem and wondering whether I've overlooked something obvious. I'm running with latest versions of R and all packages, and latest version of JAGS running under Windows 7. Here's the problem. I have some source code. It's given below -

Hello, I asked a question about what the most likely process to follow if after a time-series fit is performed the residuals are found to be non-normal. One peron responded and offered to help if I supplied a sample data set. Unfortunately now that I have a sample I have lost the emai addressl. If you are that person or have some ideas please email me back at rkevinburton at charter.net. Thank

Hi all, I ran a Weibull model, and I am wondering if there is any way to extract the log likelihood. I tried loglik(model) but it does not seem to work any help would be greatly appreciated joe [[alternative HTML version deleted]]

Dear R experts, I am trying to estimate an ARMA 2,2 model with garch errors. I used the following code on R 2.9. #library library(fGarch) #data data1<-ts(read.table("C:/Users/falcon/Desktop/Time Series/exports/goods1.csv"), start=c(1992,1), frequency=12) head(data1) #garch garchFit(formula.mean= ~arma(2,2),formula.var=~garch(1,1), data=data1) but get this error: >

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Anyone used jags.parallel in latest version of R2jags? Ubuntu Oneiric, just ran updates in R to get latest R2jags package which supposedly has added jags.parallel command to send chains to multiple cores ... but when I submit, I get: test <- jags.parallel(d, inits, param, model.file="rats.bug", n.chains=3, n.iter=2000) Error: could not find function

Hello ALL! I am running Linux, Fedora 15 64-bits, and R on it. I need to use WinBUGS and R2WinBUGS, but as far as I read, WinBUGS is closed project, to be continued with/as OpenBUGS. Thus, I have found R2OpenBUGS on OpenBUGS Contributed Code (http://openbugs.info/w/UserContributedCode), not on CRAN. Author(s) states that it is equivalent for R2WinBUGS. I tried briefly, and realized few minor

Frank (or anyone else), can you offer any comments comparing runjags, R2jags, rjags ? I couldn't find any vignettes, nothing except a brief mention on Task Views. Kevin On Wed, Oct 7, 2009 at 7:48 AM, Frank E Harrell Jr <f.harrell@vanderbilt.edu > wrote: > Have you tried the rjags package which uses the jags system? It is much > more integrated into R and works quite well.