similar to: lmer() computational performance

Greetings list, I am new to programming in R, and am using nnet() function for a project on neural networking. Firstly I wish to ask if there is any pdf explaining the algorithm nnet uses, which could tell me what the objects of the nnet class, like 'conn', 'nconn, 'nsunits', n and 'nunits' mean, and how weights are calculated. The package pdf has little or no

I'm resending this message because I did not include a subject line in my first posting. Apologies for the inconvenience! Tanja > Hello, > > I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when

Hello, I have a workspace that contains a number of functions I want to put in a library. Under R 1.9.0 I did this fairly easily by putting them in a R folder, creating a DESCRIPTION & TITLE file etc. I could then load my library successfully. Under R 2.0.0 this simple process apparently no longer works. I have used package.skeleton() and have run R CMD INSTALL pkgname but still get various

Skipped content of type multipart/mixed-------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 186 bytes Desc: OpenPGP digital signature Url : http://lists.digium.com/pipermail/asterisk-users/attachments/20061103/b35592e2/signature.pgp

Hello, I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when expanding the number of covariates I usually encounter the following error message. gm8 <-

Hi all, I've searched threads and read up on some ways of doing this but I'm having a hard time to get it to work. Here's my basic problem. I have the following linear mixed model y = Xb+Zu+e where u~N(0,s^2*K) where K is a matrix. I read a thread that basically suggested to decompose Zu into ZPD^(1/2) D^(-1/2)P'u so that (D^(-1/2)P'u)~N(0,s'^2I) but I'm not sure

Hello-- I've been playing with the privacy options on my home/home-office system since August last year, and have some results, gleaned from my CDR records, which over the last 13 months, number a total of 8672, which includes incoming, as well as outgoing calls. Before I start spitting out numbers, let me note that with the current setup, I haven't had to tell a single telemarketer

Dear all, not really a R question but: If I want to check for the classification accuracy of a LDA with previous PCA for dimensionality reduction by means of the LOOCV method: Is it ok to do the PCA on the WHOLE dataset ONCE and then run the LDA with the CV option set to TRUE (runs LOOCV) -- OR-- do I need - to compute for each 'test-bag' (the n-1 observations) a PCA

Dear guRus, is there a package that calculates the Approximate Entropy (ApEn) of a time series? RSiteSearch only gave me a similar question in 2004, which appears not to have been answered: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/28830.html RSeek.org didn't yield any results at all. Happy holidays (where appropriate), Stephan

Hi, all. I'm trying to cluster 12,500 objects using hclust from package mva. The distance matrix takes up nearly 600 MB. The distance matrix also needs to be copied when being passed to the fortran routine that actually does the clustering (it's modified during the clustering), so that's 1200 MB. I'm actually on a machine with 2.5 GB of memory (and nothing else running), so I

Dear All, A new task view "ChemPhys" on chemometrics and computational physics is available on CRAN (http://cran.r-project.org/web/views/ChemPhys.html). It describes packages and functions that are of use in modeling chemical/physical systems. Suggestions and comments regarding this task view are welcome. If you think a new category, package or function should be added, please mail.

A postdoctoral fellow position in computational biology will be available starting June 1 2009 at University of Washington, Seattle, WA. The candidate will join a multi-disciplinary group working on edge-cutting research problems in computational biology. Job Description We seek a highly motivated and diligent researcher at the early stage of academic career with the ability to carry out

Computational Aspects of Simulation and Inference for Stochastic Processes and the YUIMA Project This two-day workshop is aimed at presenting the latest results on simulation and inference for stochastic processes and their current and prospect implementation within the YUIMA R package. Dates: March 27 (Tue) 9:15-12:15, 14:45-17:45 March 28 (Wed) 9:15-12:15, 14:45-17:45 Location:

Dear all, I was interested to get an idea on how the computational complexity is affected by different modes, assuming a fixed complexity setting. I saw in the documentation (Table 4 http://www.speex.org/docs/manual/speex-manual/node10.html) that going to higher data bit rate does not always increase the complexity (e.g. 11 kbps require 14 mflops while 15 kbps require 11 mflops). Is this

Hi, We're looking for a number of people to join our group (Applied Computational Biology and Bioinformatics -- ACBB) and applying state of the art techniques (see for example, xmap.picr.man.ac.uk) to integrate, analyse and interpret datasets arising from the latest generation of microarrays (including exon, SNP and tiling arrays), quantitative mass-spectrometry and next generation

Dear All, We have just advertised a number of jobs which may be of interest. I've pasted the text from the advert below; more details can be found on our website at: http://bioinformatics.pir.man.ac.uk ------------------------------ Positions in Applied Computational Biology and Bioinformatics The Paterson Institute is a leading cancer centre of excellence core-funded by Cancer Research

A postdoctoral fellow position in computational biology will be shortly available at University of Washington, Seattle, WA. The candidate will join a multi-disciplinary group working on edge-cutting research problems in computational biology. Job Description We seek a highly motivated and diligent researcher at the early stage of academic career with the ability to carry out research

A postdoctoral fellow position in computational biology is anticipated to open in the fall of 2009 at University of Washington, Seattle, WA. The candidate will join a multi-disciplinary group working on edge-cutting research problems in computational biology. Job Description We seek a highly motivated and diligent researcher at the early stage of academic career with the ability to carry out

The Department of Statistics at the Faculty of Mathematics, Informatics and Statistics of the Ludwig-Maximilians Universit?t in Munich invites applications for a Professorship (W2) (6 years/tenure track) for Statistics with Special Emphasis on Computational Statistics as soon as possible. The professorship represents the entire field of computational statistics in research and teaching.

Dear All, We are seeking a computational research scientist interested in studying the roles of non-coding RNAs in cancer. The successful applicant will join the Cancer Research UK RNA Biology Group at the Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk). Located in Manchester UK, the Cancer Research UK Manchester Institute is a centre for excellence in cancer research. We