Active Set and Generalized PAVA for Isotone Optimization
Description
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.
