**Stats raving mad » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Let’s say that you’re fitting a cumbersome model so time is not to waste over a PC staring at the screen half anxious-half bored…

Then, you can always leave and go on with meetings and all your daily routine and have R notify you the results! How?

We will illustrate the situation above using some Bayesian Model Averaging code adapted by Martin Feldkircher & Stefan Zeugner. You should download the code and source everything in R except for the example in the end (after the definition of the functions!).

#The code to get a model fls.data=read.table(url("http://feldkircher.gzpace.net/links/fls_data_adj.txt")) data.M=as.matrix(fls.data) K=ncol(dataM)-1 # nr. of regressors # this setting corresponds to a uniform prior on the model space (prior.msize=K/2 and theta="fix") # and the ric specification since K^2> N (with N the nr. of observations) as suggested by fls model.ric=fls(X.data=data.M,burn=60000,iter=700000,g=(1/K^2),nmodel=100,theta="fix",prior.msize=K/2,logfile=T,mcmc="bd",start.value=rep(0,K),beta.save=T)

This is gonna take s o m e time (really!), so you could let R working and go out for a cup of coffee (typical of Greek people!). Add the following at the end of the above code.

library(twitteR) sess <- initSession('myUser', 'myPass') # Set your user account info ns <- updateStatus('A model waits for you @ home ', sess)

Would you really care enough to check whether the fit is done when outside?

**leave a comment**for the author, please follow the link and comment on their blog:

**Stats raving mad » R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.