https://github.com/cran/reglogit
Revision 38b4322a4e9e9fe00e2fef539feca893eead623a authored by Robert B. Gramacy on 05 August 2011, 00:00:00 UTC, committed by Gabor Csardi on 05 August 2011, 00:00:00 UTC
0 parent
Tip revision: 38b4322a4e9e9fe00e2fef539feca893eead623a authored by Robert B. Gramacy on 05 August 2011, 00:00:00 UTC
version 1.0
version 1.0
Tip revision: 38b4322
DESCRIPTION
Package: reglogit
Type: Package
Title: Simulation-based Regularized Logistic Regression
Version: 1.0
Date: 2011-08-05
Author: Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Maintainer: Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Depends: R (>= 2.4), 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: 2011-08-06 16:03:26 UTC; bobby
Repository: CRAN
Date/Publication: 2011-08-07 08:08:29
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