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 |