Package: reglogit
Type: Package
Title: Simulation-based Regularized Logistic Regression
Version: 1.1
Date: 2011-12-20
Author: Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Maintainer: Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Depends: R (>= 2.14.0), methods, mvtnorm, boot
Description: Regularized logistic regression 
  by Gibbs sampling. The package implements subtly different 
  MCMC schemes with varying efficiency depending on the data type 
  (binary v. binomial, say) and the desired estimator (regularized maximum
  likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a 
  unified interface
License: LGPL
URL: http://faculty.chicagobooth.edu/robert.gramacy/reglogit.html
LazyLoad: yes
Packaged: 2012-01-03 21:47:10 UTC; rgramacy
Repository: CRAN
Date/Publication: 2012-01-04 07:31:43