similar to: port of Pan to R

Hello, I'm looking for a more descriptive manual/tutorial/paper for the pan package. The provided manual and example do not contain any useful hints how to specify a model with more than one variable and leaves several questions unanswered. This also applies to the referred paper "Schafer: Imputation of missing covariates under a multivariate linear mixed model." Can anyone

Hi, I have a big dataset which has many missing values and want to implement Multiple imputation via Monte carlo markov chain by following J Schafer's "Analysis of incomplete multivariate data". I don't know where to begin and is looking for a sample R code that implements multiple imputation with EM, MCMC, etc.... Any help / suggestion will be greatly appreciated. David

Dear all! I'd like to do multiple imputation of missing values with s-plus libraries that are provided by Shafer (http://www.stat.psu.edu/~jls/misoftwa.html). I wonder, whether these libraries are compatible or somehow convertible to R (because I don't have S-plus), so that I can use this functions using the R Program. I would be happy if you could tell me, -if it is possible to use

Hello all. I am trying to run PAN, multilevel multiple imputation program, in R to impute missing data in a longitudinal dataset. I could successfully run the multiple imputation when I only imputed one variable. However, when I tried to impute a time-varying covariate as well as a response variable, I received an error message, “Error: subscript out of bounds.” Can anyone tell if my commands

What R functionnalities are there to do missing values imputation (substantial proportion of missing data)? I would prefer to use maximum likelihood methods ; is the EM algorithm implemented? in which package? Thanks Anne ---------------------------------------------------- Anne Piotet Tel: +41 79 359 83 32 (mobile) Email: anne.piotet@m-td.com

Greetings folks, Shafer's S-plus package "norm" for multiple imputation of missing values in multivariate normal data has been most kindly and usefully ported to R by Alvaro A. Novo. Shafer's website http://www.stat.psu.edu/~jls/ lists four S-plus packages in all: NORM - multiple imputation of multivariate continuous data CAT - multiple imputation of multivariate

Dear R-List, I apologize for not posting a reproducible example - the reason is that I actually do not succeed in reproducing my specific problem with generated data. Let me still describe the problem: I want to impute missing data using the "pan" package. a) It works, when I use a fraction of my data (e.g. 200 out of 44000 cases) b) It works, when I generate a dataset of equal

Hi all, I'm currently working with a dataset that has quite a few missing values and after some investigation I figured that multiple imputation is probably the best solution to handle the missing data in my case. I found several references to functions in S-Plus that perform multiple imputation (NORM, CAT, MIX, PAN). Does R have corresponding functions? I searched the archives but was not

Hello all, I am working on a longitudinal study of children in the UK and trying the PAN package for imputation of missing data, since it fulfils the critical criteria of taking into account individual subject trend over time as well as population trend over time. In order to validate the procedure I have started by deleting some known values ?we have 6 annual measures of height on 300 children

Hi, I've tried to run the multiple imputation for longitudinal data using Pan in R. The trimmed data consist 10 individuals across 4 time points. Following the example in panex.R, I imputated the model with one y variable and only random intercept. It worked well. The next step for me is to imputate a model with one y variable and both random intercept and slope. The program ran well, but

Hi, I have had a quick search to see whether this question has been asked/answered before but haven't found anything directly related to it. Basically, I am wondering if I can run the packages, developed by Shafer for S-Plus, that allow multiple imputation of missing data - NORM, CAT, MIX, and PAN. If not, does anyone know if someone has done the modification that would make these packages

I realize this is (mostly) off topic, but I'm befuddled as to *how* one can post to the Gmane Pan Users' group (gmane.comp.gnome.apps.pan.user) using any nntp USENET client (e.g., Pan, on Centos). I'm already subscribed (by having sent an email to pan-users at nongnu.org); but I just want that USENET group to work like *this* USENET group, where I can post using a server:port

Q: What is the recommended method to obtain Pan 0.136+ (with SSL) for Centos 6? I've been successfully using Pan 0.135 from the RPMForge repository for about a year now: $ yum --noplugins --showduplicates --enablerepo \* --disablerepo c6-media,\*-source,\*debug\* provides "*/pan" ==> 1:pan-0.135-1.el6.rf.x86_64 : The Pan Newsreader ==> Repo : installed $ sudo yum

Does anyone know if the pan news reader works on CentOS 5.4? I am considering installing version 0.132 that I downloaded from pan.rebelbase.com . Thanks for your advice. Mike.

I can't seem to get a way to install Pan in CentOS, and I need it badly. I follow most busy lists, including this one, on Gmane using Pan (and, no, Gmane per Web is no use to me. I have some obscure allergy to webmail). Does anyone know an rpm (one of Fedora's, for instance) that I can install and not immerse myself in dependency hell?

Dear list, this is perhaps more of a statistics question than an R question, but perhaps someone could help me out anyway. I'm doing sociological research and am currently in the process of familiarizing myself with the basic concepts of multiple imputation. Eventually, my goal is to perform quantile regression on a large data set, where one non-negative discrete variable contains missing

A hardware failure has put pan.zipxon out for a while. Hopefully it will be running by next week. In the meantime there is a partial mirror at: http://cuba.calyx.nl/~oink/ogg/ <p><p>--- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'vorbis-request@xiph.org'

Dear alltogether, I experience very strange behavior of imputation of NA's with the NORM library. I use R 2.2.0, win32. The code is below and the same dataset was also tried with MICE and aregImpute() from HMISC _without_ any problem. The problem is as follows: (1) using the whole dataset results in very strange imputations - values far beyond the maximum of the respective column, >

Where can I get the latest pan newsreader that would work with KDE 4? Thanks, Mike.

Dear alltogether, I tried pan() to impute NAs for longitudinal data. The terminology in the following output follows the pan manpage. No data are attached to this script as this may be too huge. y = 15 responses pred = at first just intercept was tried (later on covariates should follow) subj = 168 different subjects with 4 to 6 observations for each subject at time points t1, t2, ..., t6 #