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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: 1.1-1
Depends: R (≥ 3.0.2)
Imports: graphics, stats, nnls
Published: 2023-02-22
DOI: 10.32614/CRAN.package.isotone
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: https://r-forge.r-project.org/projects/psychor/
NeedsCompilation: yes
Citation: isotone citation info
In views: Optimization
CRAN checks: isotone results

Documentation:

Reference manual: isotone.pdf
Vignettes: Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods

Downloads:

Package source: isotone_1.1-1.tar.gz
Windows binaries: r-devel: isotone_1.1-1.zip, r-release: isotone_1.1-1.zip, r-oldrel: isotone_1.1-1.zip
macOS binaries: r-release (arm64): isotone_1.1-1.tgz, r-oldrel (arm64): isotone_1.1-1.tgz, r-release (x86_64): isotone_1.1-1.tgz, r-oldrel (x86_64): isotone_1.1-1.tgz
Old sources: isotone archive

Reverse dependencies:

Reverse depends: gpmap
Reverse imports: CLME, comparison, hdpGLM, IPWboxplot, isoboost, L2E, rankrate, RDS
Reverse suggests: grpSLOPE, WeightedCluster

Linking:

Please use the canonical form https://CRAN.R-project.org/package=isotone to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.