similar to: Joe Shafer's imputation packages

>>>>> "Jose" == Jose Ramon G Albert <toots at info.com.ph> writes: Jose> I have just downloaded this freeware version of R (which seems Jose> to be a clone of S). I was wondering if anyone knows where I Jose> could obtain R or S functions which provide nonparametric Jose> regression curves, e.g. kernel estimators or smoothing Jose> splines.

When I tell several people here in the Philippines about the wonders of using R, one of the things I am asked is why is it called "R"? Does it have anything to do with the fact that the original writers of the R code were Robert Gentlemaan & Ross Ihaka? How about "S"? Why did Becker, Chambers and Wilks call it S? Jose Ramon Albert Manila, Philippines

Paul Gilbert has informed me of his DSL library for time series functions. However, it does not work for the Windows 95/98 version of R. He says that this work entails compiling the fortran into the appropriate DLL but he neither has the tools nor the expertise to do this. Has anybody on the list done this already? Or has anybody at least been able to just write some code for performing some

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

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

Hi Folks, I'm currently looking at missing data/imputation methods (including multiple imputation). S-Plus has a "missing data library". What similar resources are available within R? Or does one roll one's own? Best wishes to all, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk>

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

Hi list, Does anyone know the legalities of connecting an Asterisk box to the PSTN in Manila or where I can find this info out? I know it is illegal in some countries. thanks -Matt

This was ``accidentally'' sent to me rather than R-help ... MM ------- start of forwarded message ------- Thank you very much for your email in downloading the Rgui. I am trying to construct two-line graphs with axis(), but I am lost as to what argument to use to draw the second line. With the xyz.coords, could i use the lty, col... arguments. Please advise me as to what to do with

Dear mailing list, I'm trying to run the sample program about coxreg in the eha package. But the command is not recognized. I tried the boot and also the survival library. Hope you can help me solve this little problem. Thank you. Jei ---------------------------------------------------------------- This message was sent using IMP, the Internet Messaging Program. University of the

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

On 3/19/08, Argiris Kirtzidis <akyrtzi at gmail.com> wrote: > I'd like to hear your opinions and ideas for a proposal to improve > support for C++ parsing for LLVM's clang front end. > > Goal: > Improve clang's C++ support. The scope of the project will be limited to > C++ parsing, not code generation (I think the > timeframe of a GSoC project and the

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

Dear mailing list, I tried to run the example for the conditional bootstap written in the help file of censboot. I got the following result: STRATIFIED CONDITIONAL BOOTSTRAP FOR CENSORED DATA Call: censboot(data = aml, statistic = aml.fun, R = 499, F.surv = aml.s1, G.surv = aml.s2, strata = aml$group, sim = "cond") Bootstrap Statistics : original bias std. error t1*

Dear list, I'd like to use multiple imputations to try and save a somewhat badly mangled dataset (lousy data collection, worse than lousy monitoring, you know that drill... especially when I am consulted for the first time about one year *after* data collection). My dataset has 231 observations of 53 variables, of which only a very few has no missing data. Most variables have 5-10% of

Hello all, if I have multiple imputed data sets, is there a command or function in R in any package you know of to combine those, I know one common MI approach is rubins rules, is there a way to do this using his rules or others? I know theres ways, like using Amelia from Gary King's website to create the imputed data sets, but how to make them into one or combine them for analysis.

Thanks to Fernando Tusell and especially to Brian Ripley for their work on 'mix', leading to an apparently good package mow available on CRAN. Going through the R code for the function prelim.mix, I am wondering why the following method of calculation is used at one point: umd <- as.integer(round(exp(cumsum(log(d))))) (d is a vector containing, in effect, the numbers of levels of

i can not seem to find any R functions on standard time series analysis, e.g. exp. smoothing, ARIMA modeling. are these available in a specific library. any help will be gratefully appreciated. Jose Ramon G. Albert Research Division Statistical Research and Training Center 104 Kalayaan Ave. Quezon City Philippines -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Good day R help list!!! I've been trying to do Bootstrap in R on Censored data. I encountered WARNING/ERROR messages which I could not find explanation. I've been searching on the literature for two days now and still can't find answers. I hope there's anyone out there who can help me with these two questions: 1. If the "Loglik converged before variable..." message

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