Contains two main functions: gpava() for solving general isotone regression problem using the pool-adjacent-violators algorithm (PAVA). activeSet() provides a framework of active set methods for isotone optimization problems with arbitrary order restrictions. Various types of loss functions are pre-specified.
| Version: | 1.0-2 |
| Published: | 2014-09-10 |
| Author: | Patrick Mair [aut, cre], Jan De Leeuw [aut], Kurt Hornik [aut] |
| Maintainer: | Patrick Mair <mair at fas.harvard.edu> |
| License: | GPL-2 |
| Copyright: | see file COPYRIGHTS |
| URL: | http://r-forge.r-project.org/projects/psychor/ |
| NeedsCompilation: | yes |
| Citation: | isotone citation info |
| CRAN checks: | isotone results |
| Reference manual: | isotone.pdf |
| Package source: | isotone_1.0-2.tar.gz |
| Windows binaries: | r-devel: isotone_1.0-2.zip, r-release: isotone_1.0-2.zip, r-oldrel: isotone_1.0-2.zip |
| OS X Snow Leopard binaries: | r-release: isotone_1.0-2.tgz, r-oldrel: isotone_1.0-2.tgz |
| OS X Mavericks binaries: | r-release: isotone_1.0-2.tgz |
| Old sources: | isotone archive |
| Reverse depends: | gpmap, twostageTE |
| Reverse imports: | comparison |
| Reverse suggests: | RDS, WeightedCluster |