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isotone (version 1.0-1)

Active set and generalized PAVA for isotone optimization

Description

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.

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Version

Install

install.packages('isotone')

Monthly Downloads

1,041

Version

1.0-1

License

GPL

Maintainer

Jan Leeuw

Last Published

January 23rd, 2011

Functions in isotone (1.0-1)

Absolute Value Norm

Huber Loss Function

weighted.median

Weighted Median

User-Specified Loss Function

Number of freezing days at Lake Mendota

Quantile Regression

weighted.fractile

Weighted Median

Least Squares Loss Function

L1 approximation

Size of pituitary fissue

Generalized Pooled-Adjacent-Violators Algorithm (PAVA)

Repeated posturographic measures

Negative Poisson Log-Likelihood

General Least Squares Loss Function

Active Set Methods for Isotone Optimization

Asymmetric Least Squares