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.
|Author||Patrick Mair [aut, cre], Jan De Leeuw [aut], Kurt Hornik [aut]|
|Date of publication||2015-07-24 12:16:22|
|Maintainer||Patrick Mair <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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