Package: isotone 1.1-1

Patrick Mair

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.

Authors:Patrick Mair [aut, cre], Jan De Leeuw [aut], Kurt Hornik [aut]

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isotone.pdf |isotone.html✨
isotone/json (API)

# Install 'isotone' in R:
install.packages('isotone', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/psychor

Datasets:
  • mendota - Number of freezing days at Lake Mendota
  • pituitary - Size of pituitary fissue
  • posturo - Repeated posturographic measures

On CRAN:

Conda:

6.87 score 13 packages 80 scripts 963 downloads 2 mentions 19 exports 1 dependencies

Last updated 3 days agofrom:74cc9d0fba. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winOKMar 25 2025
R-4.5-macOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-winOKMar 25 2025
R-4.4-macOKMar 25 2025
R-4.4-linuxOKMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:activeSetaSolverdSolvereSolverfSolvergpavahSolveriSolverlfSolverlsSolvermregnnmregnnMmregnnPmSolveroSolverpSolversSolverweighted.fractileweighted.median

Dependencies:nnls

Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods

Rendered fromisotone.Rnwusingutils::Sweaveon Mar 25 2025.

Last update: 2015-07-24
Started: 2015-07-24