Bias Reduction in Generalized Linear Models

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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