brglm2
Bias Reduction in Generalized Linear Models
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)
- Version0.9.2
- R version≥ 3.3.0
- LicenseGPL-3
- Needs compilation?Yes
- brglm2 citation info
- Last release10/11/2023
Documentation
- VignetteAdjacent category logit models using **brglm2**
- VignetteEstimating the exponential of regression parameters using **brglm2**
- VignetteBias reduction in generalized linear models
- VignetteMultinomial logistic regression using **brglm2**
- VignetteNegative binomial regression using **brglm2**
- MaterialREADME
- MaterialNEWS
Team
Ioannis Kosmidis
Euloge Clovis Kenne Pagui
Show author detailsRolesAuthorKjell Konis
Show author detailsRolesContributorNicola Sartori
Show author detailsRolesContributor
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- Depends1 package
- Imports7 packages
- Suggests8 packages
- Reverse Depends3 packages
- Reverse Imports4 packages
- Reverse Suggests7 packages