brglm: Bias reduction in binomial-response GLMs

Fit binomial-response GLMs using either a modified-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. Fitting takes place by iteratively fitting a local GLM on a pseudo-data representation. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the bias-reduced estimates.

Version: 0.5-4
Depends: R (≥ 2.6.0), profileModel
Suggests: MASS
Date: 2008-11-25
Author: Ioannis Kosmidis
Maintainer: Ioannis Kosmidis <I.Kosmidis at warwick.ac.uk>
License: GPL (≥ 2)
URL: http://go.warwick.ac.uk/kosmidis
In views: SocialSciences
CRAN checks: brglm results

Downloads:

Package source: brglm_0.5-4.tar.gz
MacOS X binary: brglm_0.5-4.tgz
Windows binary: brglm_0.5-4.zip
Reference manual: brglm.pdf
Old sources: brglm archive