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.
- Version1.1-1
- R version≥ 3.0.2
- LicenseGPL-2
- Needs compilation?Yes
- isotone citation info
- Last release02/22/2023
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Team
Patrick Mair
Kurt Hornik
Jan De Leeuw
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