Active set and generalized PAVA for isotone optimization
This package contains two main functions: gpava() for
solving general isotone regression problem using the
pool-adjacent-violators algorithm (PAVA). activeSet() provides
a framwork of active set methods for isotone optimization
problems. Various loss functions are pre-spcified.

This package contains two main functions: gpava() for
solving general isotone regression problem using the
pool-adjacent-violators algorithm (PAVA). activeSet() provides
a framework of active set methods for isotone optimization
problems. Various loss functions are pre-spcified.

This package contains two main functions: gpava() for
solving general isotone regression problem using the
pool-adjacent-violators algorithm (PAVA). activeSet() provides
a framework of active set methods for isotone optimization
problems with arbitrary order restrictions. Various types of
loss functions are pre-spcified.

c(person("Patrick", "Mair", role = c("aut", "cre"), email =
"mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"),
person("Kurt", "Hornik", role = "aut"))
Patrick Mair [aut, cre], Jan De Leeuw [aut], Kurt Hornik [aut]
Contains two main functions: gpava() for
solving general isotone regression problem using the
pool-adjacent-violators algorithm (PAVA). activeSet() provides
a framework of active set methods for isotone optimization
problems with arbitrary order restrictions. Various types of
loss functions are pre-specified.

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.

Penalized Isotonic Regression in one and two dimensions
Mary C Meyer, Jiwen Wu, and Jean D. Opsomer
Given a response y and a one- or two-dimensional predictor, the isotonic regression estimator is calculated with the usual orderings.
graphics, grDevices, stats, utils, coneproj, Matrix