lbreg-package: Log-Binomial Regression with Constrained Optimization

Description Details Author(s) References

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

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Author(s)

Bernardo B. Andrade

Maintainer: Bernardo Andrade <bbandrade@unb.br>

References

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


lbreg documentation built on Dec. 26, 2019, 5:06 p.m.