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.

AuthorPatrick Mair [aut, cre], Jan De Leeuw [aut], Kurt Hornik [aut]
Date of publication2015-08-06 19:01:15
MaintainerPatrick Mair <>

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