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.
Version: |
1.0-3 |
Published: |
2012-10-29 |
Author: |
Jan Ulbricht |
Maintainer: |
Jan Ulbricht <jan.ulbricht at stat.uni-muenchen.de> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
lqa results |
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Reverse dependencies:
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