brglm
Bias reduction for Binomial-response GLMs
Overview:brglm provides a unified interface for estimation in binomial-response GLMs. Estimation can be performed using either an adjusted-score approach to bias reduction or maximum penalised likelihood, where the likelihood function is penalised by Jeffreys invariant prior, or simply maximum likelihood. The adjusted-score functions approach is the most appealing because the resultant estimator has zero bias to second order and smaller variance, and the bias-reduced estimates are always finite. Furthermore, brglm contains the tools for the construction of confidence intervals for the resultant estimates.
Version:
0.5-6
Author:
Ioannis
Kosmidis
Maintainer:
Ioannis
Kosmidis [aut, cre]
License:
GPL 2
or greater
Depends:
R
(>=
2.6.0), profileModel
Suggests:
MASS
Submitted to
CRAN
:
16 Aug 2011
R-Forge page:
brglm
