Installation
About
Estimation and inference from generalized linear models based on various methods for bias reduction and maximum penalized likelihood with powers of the Jeffreys prior as penalty. The 'brglmFit' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) doi:10.1093/biomet/80.1.27 and Kosmidis and Firth (2009) doi:10.1093/biomet/asp055, or the median bias-reduction adjusted score equations in Kenne et al. (2017) doi:10.1093/biomet/asx046, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991)
Citation | brglm2 citation info |
github.com/ikosmidis/brglm2 | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 147 0% |
Last 7 days | 580 -16% |
Last 30 days | 2.759 -32% |
Last 90 days | 12.740 -1% |
Last 365 days | 45.022 -98% |
Material
Vignettes
Depends
R | ≥ 3.3.0 |