Bias Reduction in Generalized Linear Models

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Documentation for package ‘brglm2’ version 0.1.8

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brglm2-package brglm2: Bias Reduction in Generalized Linear Models
alligators Alligator food choice data
brglm2 brglm2: Bias Reduction in Generalized Linear Models
brglmControl Auxiliary function for 'glm' fitting using the 'brglmFit' method.
brglmFit Fitting function for 'glm' for reduced-bias estimation and inference
brglm_control Auxiliary function for 'glm' fitting using the 'brglmFit' method.
brglm_fit Fitting function for 'glm' for reduced-bias estimation and inference
brmultinom Bias reduction for multinomial response models using the Poisson trick.
checkInfiniteEstimates A simple diagnostic of whether the maximum likelihood estimates are infinite
check_infinite_estimates Generic method for checking for infinite estimates
check_infinite_estimates.glm A simple diagnostic of whether the maximum likelihood estimates are infinite
coalition Coalition data
confint.brglmFit Method for computing confidence intervals for one or more regression parameters in a 'brglmFit' object
detectSeparation Method for 'glm' that tests for data separation and finds which parameters have infinite maximum likelihood estimates in generalized linear models with binomial responses
detectSeparationControl Auxiliary function for the 'glm' interface when 'method' is 'detect_separation'.
detect_separation Method for 'glm' that tests for data separation and finds which parameters have infinite maximum likelihood estimates in generalized linear models with binomial responses
detect_separation_control Auxiliary function for the 'glm' interface when 'method' is 'detect_separation'.
endometrial Histology grade and risk factors for 79 cases of endometrial cancer
lizards Habitat preferences of lizards
print.detect_separation Method for 'glm' that tests for data separation and finds which parameters have infinite maximum likelihood estimates in generalized linear models with binomial responses
summary.brglmFit 'summary' method for 'brglmFit' objects
vcov.brglmFit Return the variance-covariance matrix for the regression parameters in a 'brglmFit' object