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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.
Getting started
Browse package contents
Package details |
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| Author | Jan Ulbricht |
| Maintainer | Jan Ulbricht <jan.ulbricht@stat.uni-muenchen.de> |
| License | GPL-2 |
| Version | 1.0-3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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