Other packages > Find by keyword >

brglm  

Bias Reduction in Binomial-Response Generalized Linear Models
View on CRAN: Click here


Download and install brglm package within the R console
Install from CRAN:
install.packages("brglm")

Install from Github:
library("remotes")
install_github("cran/brglm")

Install by package version:
library("remotes")
install_version("brglm", "0.7.3")



Attach the package and use:
library("brglm")
Maintained by
Ioannis Kosmidis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-02-25
Latest Update: 2021-04-22
Description:
Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. 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 reduced-bias estimates.
How to cite:
Ioannis Kosmidis (2008). brglm: Bias Reduction in Binomial-Response Generalized Linear Models. R package version 0.7.3, https://cran.r-project.org/web/packages/brglm. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 0.5-2 (2008-02-25 08:43), 0.5-3 (2008-04-10 09:16), 0.5-4 (2008-11-26 09:47), 0.5-5 (2010-06-22 10:30), 0.5-6 (2011-08-17 07:30), 0.5-7 (2012-08-24 10:35), 0.5-8 (2013-08-08 01:27), 0.5-9 (2013-11-08 11:39), 0.6.1 (2017-06-29 07:56), 0.6.2 (2019-04-02 19:40), 0.7.1 (2020-10-12 06:40), 0.7.2 (2021-04-22 13:30)
Other packages that cited brglm R package
View brglm citation profile
Other R packages that brglm depends, imports, suggests or enhances
Complete documentation for brglm
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA