Learn R Programming

⚠️There's a newer version (0.7.2) of this package.Take me there.

brglm (version 0.7.1)

Bias Reduction in Binomial-Response Generalized Linear Models

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.

Copy Link

Version

Install

install.packages('brglm')

Monthly Downloads

7,658

Version

0.7.1

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Ioannis Kosmidis

Last Published

October 12th, 2020

Functions in brglm (0.7.1)

profileObjectives-brglm

Objectives to be profiled
gethats

Calculates the Leverages for a GLM through a C Routine
brglm.control

Auxiliary for Controlling BRGLM Fitting
profile.brglm

Calculate profiles for objects of class 'brglm'.
lizards

Habitat Preferences of Lizards
brglm

Bias reduction in Binomial-response GLMs
modifications

Additive Modifications to the Binomial Responses and Totals for Use within `brglm.fit'
glm.control1

Auxiliary for Controlling BRGLM Fitting
plot.profile.brglm

Plot methods for 'profile.brglm' objects
confint.brglm

Computes confidence intervals of parameters for bias-reduced estimation
separation.detection

Separation Identification.