# Bias Reduction in Generalized Linear Models

## Documentation for package ‘brglm2’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

brglm2-package | brglm2: Bias Reduction in Generalized Linear Models
aids | Effects of AZT in slowing the development of AIDS symptoms
alligators | Alligator food choice data
bracl | Bias reduction for adjacent category logit models for ordinal responses using the Poisson trick.
brglm2 | brglm2: Bias Reduction in Generalized Linear Models
brglm2-defunct | Defunct Functions in package 'brglm2'
brglmControl | Auxiliary function for 'glm()' fitting using the 'brglmFit()' method.
brglmFit | Fitting function for 'glm()' for reduced-bias estimation and inference
brglmFit_expo | Estimate the exponential of parameters of generalized linear models using various methods
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.
brnb | Bias reduction for negative binomial regression models
check_infinite_estimates | Defunct Functions in package 'brglm2'
coalition | Coalition data
coef.brglmFit | Extract model coefficients from '"brglmFit"' objects
coef.brglmFit_expo | Extract estimates from '"brglmFit_expo"' objects
coef.brnb | Extract model coefficients from '"brnb"' objects
confint.brglmFit | Method for computing confidence intervals for one or more regression parameters in a '"brglmFit"' object
confint.brmultinom | Method for computing confidence intervals for one or more regression parameters in a '"brmultinom"' object
confint.brnb | Method for computing Wald confidence intervals for one or more regression parameters in a '"brnb"' object
confint.mdyplFit | Method for computing confidence intervals for one or more regression parameters in a '"mdyplFit"' object
detect_separation | Defunct Functions in package 'brglm2'
endometrial | Histology grade and risk factors for 79 cases of endometrial cancer
enzymes | Liver enzyme data
expo | Estimate the exponential of parameters of generalized linear models using various methods
expo.brglmFit | Estimate the exponential of parameters of generalized linear models using various methods
expo.glm | Estimate the exponential of parameters of generalized linear models using various methods
hepatitis | Post-transfusion hepatitis: impact of non-A, non-B hepatitis surrogate tests
lizards | Habitat preferences of lizards
mdyplControl | Auxiliary function for 'glm()' fitting using the 'brglmFit()' method.
mdyplFit | Fitting function for 'glm()' for maximum Diaconis-Ylvisaker prior penalized likelihood estimation of logistic regression models
mdypl_control | Auxiliary function for 'glm()' fitting using the 'brglmFit()' method.
mdypl_fit | Fitting function for 'glm()' for maximum Diaconis-Ylvisaker prior penalized likelihood estimation of logistic regression models
mis | A '"link-glm"' object for misclassified responses in binomial regression models
MultipleFeatures | Multiple features data
ordinal_superiority | Ordinal superiority scores of Agresti and Kateri (2017)
ordinal_superiority.bracl | Ordinal superiority scores of Agresti and Kateri (2017)
plrtest | Penalized likelihood ratio test for '"mdyplFit"' objects
plrtest.mdyplFit | Penalized likelihood ratio test for '"mdyplFit"' objects
predict.bracl | Predict method for bracl fits
predict.brmultinom | Predict method for brmultinom fits
print.summary.brglmFit | 'summary()' method for '"brglmFit"' objects
print.summary.brnb | 'summary()' method for '"brnb"' objects
print.summary.mdyplFit | Summary method for '"mdyplFit"' objects
residuals.bracl | Residuals for multinomial logistic regression and adjacent category logit models
residuals.brmultinom | Residuals for multinomial logistic regression and adjacent category logit models
se0 | MDYPL state evolution functions with no intercept
se1 | MDYPL state evolution functions with intercept
simulate.brmultinom | Method for simulating a data set from '"brmultinom"' and '"bracl"' objects
simulate.brnb | Simulate Responses
sloe | Estimate the corrupted signal strength in a model with (sub-)Gaussian covariates
solve_se | Solve the MDYPL state evolution equations with or without intercept, with signal strength or contaminated signal strength
stemcell | Opinion on stem cell research and religious fundamentalism
summary.brglmFit | 'summary()' method for '"brglmFit"' objects
summary.brnb | 'summary()' method for '"brnb"' objects
summary.mdyplFit | Summary method for '"mdyplFit"' objects
vcov.brglmFit | Return the variance-covariance matrix for the regression parameters in a 'brglmFit()' object
vcov.brnb | Extract model variance-covariance matrix from '"brnb"' objects