Ioannis Kosmidis' software
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[c]
brglm: Bias Reduction in Binomial-Response GLMsOverview:brglm provides a unified interface for estimation in binary-response GLMs. Estimation can be performed using either a modified-score approach to bias reduction or maximum penalised likelihood, where the likelihood function is penalised by Jeffreys invariant prior, or simply maximum likelihood. The modified-score functions approach is the most appealing because the resultant estimator has zero bias to second order and smaller variance, and the bias-reduced estimates are always finite. Furthermore, brglm contains the tools for the construction of profile confidence intervals for the resultant estimates. Version: 0.5-4 Additional Material:Available shortly profileModel: Tools for Profiling Inference Functions for Various Model ClassesOverview:profileModel provides tools that can be used to calculate, evaluate, plot and use for inference the profiles of arbitrary inference functions for arbitrary 'glm'-like fitted models with linear predictors. In addition, it allows the developers of fitting procedures to use these capabilities by simply writing a function for the appropriate objective to be profiled. Version: 0.5-6 Additional Material:Articles
Presentations
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. Kosmidis, I. (2008), useR, Dortmund, Germany, 12-14 August 2008.
according to a grid-based maximization of the correlation of a Normal P-P plot.