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 |
| 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 |
| macOS binaries: | r-release: isotone_1.1-0.tgz, r-oldrel: isotone_1.1-0.tgz |
| Old sources: | isotone archive |
| Reverse depends: | gpmap, twostageTE |
| Reverse imports: | CLME, comparison, IPWboxplot, isoboost, RDS |
| Reverse suggests: | grpSLOPE, vtreat, WeightedCluster |
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