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:

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