Here you will find daily news and tutorials about R, contributed by over 573 bloggers.
There are many ways to follow us - By e-mail:On Facebook: If you are an R blogger yourself you are invited to add your own R content feed to this site (Non-English R bloggers should add themselves- here)

A short while ago, I reported some discrepancies between the results produced by "lme4" and other R packages as well as Stata. Today I upgraded to the most recent version of "lme4a" and re-ran my model. The error of false convergence disappea...

Ben Bolker has an interesting paper (outline of a paper) comparing different approaches to estimate GLMM in R environment, which is very helpful to what I am doing right now.The paper pointed out the following options to fit GLMM using R:glmerglmmMLglm...

I am trying to compare cohort difference in infant mortality using generalized linear mixed model. I first estimated the model in Stata:xi:xtlogit inftmort i.cohort, i(code)which converged nicely:Fitting comparison model:Iteration 0: log likelih...

R has a comprehensive set of tools for the handling of hierarchical data structure. The most widely used package is probably "nlme" and "lme4", contributed by Douglas Bates and colleagues. While "nlme" is older and probably more mature than "...

For those sociologists who want to estimate complicated loglinear models (e.g. Goodman's RC model) using R, the package "VGAM" seems to be a good choice.

This R packages estimates Generalised Linear Mixed Models via MCMC. It provides a number of random error distributions and can be used for multivariate multilevel models (simultaneous equation model).I will do some tests and compare the results to othe...