lbreg-package {lbreg}

Log-Binomial Regression with Constrained Optimization

Description

Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.

Package lbreg performs maximum likelihood estimation of Log-Binomial Regression. The main functions are lbreg which provides a shortcut to constrOptim to estimate LBR coefficients and relrisk which takes lbreg results to produce estimated relative risks and associated confidence intervals and prediction. Results differ from glm when the MLE is on the boundary of the parameter space as explained in the reference below (Andrade, Andrade (2018)).

Details

The DESCRIPTION file:

Package:	lbreg
Type:	Package
Title:	Log-Binomial Regression with Constrained Optimization
Description:	Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.
Version:	1.3
Date:	2019-12-13
Author:	Bernardo B. Andrade
Maintainer:	Bernardo Andrade <[e-mail]>
License:	GPL-2
Depends:	R (>= 3.2.0)
Imports:	MASS

Index of help topics:

Birth                   Birth Weight Data
Caesarian               Caesarian Infection Dataset
Death                   Death Penalty Data
Evans                   Evans County dataset
HL_test                 Hosmer-Lemeshow Goodness of Fit Test
Heart                   Heart Dataset
PCS                     PCS Dataset
lbreg                   Log-Binomial regression
lbreg-package           Log-Binomial Regression with Constrained
                        Optimization
predict.lbreg           Predict method for Log-Binomial regression.
relrisk                 Regression Adjusted Relative Risks

Author(s)

Bernardo B. Andrade

Maintainer: Bernardo Andrade <[e-mail]>

References

Andrade, BB; Andrade JML (2018) Some results for Maximum Likelihood Estimation of Adjusted Relative Risks. Communications in Statistics - Theory and Methods.