isotone (1.0-1)

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 framework of active set methods for isotone optimization problems with arbitrary order restrictions. Various types of loss functions are pre-spcified.

Maintainer: Jan de Leeuw
Author(s): Jan de Leeuw, Kurt Hornik, Patrick Mair

License: GPL

Uses: Does not use any package
Reverse depends: comparison, twostageTE
Reverse suggests: RDS, SLOPE, WeightedCluster

Released over 6 years ago.