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 |