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...
Posts Tagged ‘ 1 ’
Bayes fits the data less closely than maximum likelihood
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...
Bayes fits the data less closely than maximum likelihood
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...
A new default prior distribution for logistic and other regression coefficients
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...
Bayesian logistic regression software
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... ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
