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.

References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Ulbricht, Jan: Variable selection in generalized linear models. (2010)