isotone: Active set and generalized PAVA for isotone optimization

This package 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-spcified.

Version: 1.0-1
Published: 2011-01-23
Author: Jan de Leeuw, Kurt Hornik, Patrick Mair
Maintainer: Jan de Leeuw <deleeuw at stat.ucla.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://r-forge.r-project.org/projects/psychor/
NeedsCompilation: no
Citation: isotone citation info
CRAN checks: isotone results

Downloads:

Reference manual: isotone.pdf
Vignettes: Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods
Package source: isotone_1.0-1.tar.gz
Windows binaries: r-devel: isotone_1.0-1.zip, r-release: isotone_1.0-1.zip, r-oldrel: isotone_1.0-1.zip
OS X Snow Leopard binaries: r-release: isotone_1.0-1.tgz, r-oldrel: isotone_1.0-1.tgz
OS X Mavericks binaries: r-release: isotone_1.0-1.tgz
Old sources: isotone archive

Reverse dependencies:

Reverse depends: gpmap, twostageTE
Reverse imports: comparison
Reverse suggests: RDS, WeightedCluster