dglars: Differential Geometric LARS (dgLARS) method

dglars implements the differential geometric extension of the least angle regression method for logistic and Poisson regression models. To compute the implicitly defined solution curve, two different algorithms are implemented, i.e. the predictor-corrector method and the cyclic coordinate descent method.

Version: 1.0.5
Depends: R (≥ 2.10)
Published: 2014-08-09
Author: Luigi Augugliaro
Maintainer: Luigi Augugliaro <luigi.augugliaro at unipa.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: dglars citation info
Materials: ChangeLog
CRAN checks: dglars results

Downloads:

Reference manual: dglars.pdf
Package source: dglars_1.0.5.tar.gz
Windows binaries: r-devel: dglars_1.0.5.zip, r-release: dglars_1.0.5.zip, r-oldrel: dglars_1.0.5.zip
OS X Mavericks binaries: r-release: dglars_1.0.5.tgz, r-oldrel: dglars_1.0.5.tgz
Old sources: dglars archive

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