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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1-2 |
2026-04-09 windows/windows R-4.5 | isotone_1.1-2.zip |
364.5 KiB |