lqa: Penalized Likelihood Inference for GLMs

This package provides some basic infrastructure and tools to fit Generalized Linear Models (GLMs) via penalized likelihood inference. Estimating procedures already implemented are the LQA algorithm (that is where its name come from), P-IRLS, RidgeBoost, GBlockBoost and ForwardBoost.

AuthorJan Ulbricht
Date of publication2012-10-29 08:59:07
MaintainerJan Ulbricht <jan.ulbricht@stat.uni-muenchen.de>

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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