Cyrus writes: I was teaching a class on multilevel modeling, and we were playing around with different method to fit a random effects logit model with 2 random intercepts---one corresponding to "family" and another corresponding to "co...

Cyrus writes: I was teaching a class on multilevel modeling, and we were playing around with different method to fit a random effects logit model with 2 random intercepts---one corresponding to "family" and another corresponding to "co...

Lluis Bermudez writes: I'm from University of Barcelona and I've using "arm" package to obtain posterior estimates of glm parameters. I usually worked with "glm" function, but I need more than a point estimation. The problem is that when using...

Lluis Bermudez writes: I'm from University of Barcelona and I've using "arm" package to obtain posterior estimates of glm parameters. I usually worked with "glm" function, but I need more than a point estimation. The problem is that when using...

This (by Aleks, Grazia, Yu-Sung, and myself) is really cool. Here's the abstract: We propose a new prior distribution for classical (non-hierarchical) logistic regression models, constructed by first scaling all nonbinary variables to have mea...

Aleks pointed me to this site by Alexander Genkin, David D. Lewis, and David Madigan that has a program for Bayesian logistic regression. It appears to allow some hierarchical modeling and can fit very large datasets. I haven't tried it... ...

e-mails with the latest R posts.

(You will not see this message again.)