isotone: Active Set and Generalized PAVA for Isotone Optimization

Contains two main functions: one for solving general isotone regression problems using the pool-adjacent-violators algorithm (PAVA); another one provides a framework for active set methods for isotone optimization problems with arbitrary order restrictions. Various types of loss functions are prespecified.

Version: 1.1-0
Depends: R (≥ 3.0.2)
Imports: graphics, stats, nnls
Published: 2015-07-24
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
In views: Optimization
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_1.1-0.tar.gz
Windows binaries: r-devel: isotone_1.1-0.zip, r-release: isotone_1.1-0.zip, r-oldrel: isotone_1.1-0.zip
OS X Snow Leopard binaries: r-release: isotone_1.1-0.tgz, r-oldrel: isotone_1.0-2.tgz
OS X Mavericks binaries: r-release: isotone_1.1-0.tgz
Old sources: isotone archive

Reverse dependencies:

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