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 |
| 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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