Active Set and Generalized PAVA for Isotone Optimization

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Documentation for package ‘isotone’ version 1.1-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

activeSet	Active Set Methods for Isotone Optimization
aSolver	Asymmetric Least Squares
dSolver	Absolute Value Norm
eSolver	L1 approximation
fSolver	User-Specified Loss Function
gpava	Generalized Pooled-Adjacent-Violators Algorithm (PAVA)
hSolver	Huber Loss Function
iSolver	SILF Loss
lfSolver	General Least Squares Loss Function
lsSolver	Least Squares Loss Function
mendota	Number of freezing days at Lake Mendota
mregnn	Regression with Linear Inequality Restrictions on Predicted Values
mregnnM	Regression with Linear Inequality Restrictions on Predicted Values
mregnnP	Regression with Linear Inequality Restrictions on Predicted Values
mSolver	Chebyshev norm
oSolver	Lp norm
pituitary	Size of pituitary fissue
plot.pava	Generalized Pooled-Adjacent-Violators Algorithm (PAVA)
posturo	Repeated posturographic measures
print.activeset	Active Set Methods for Isotone Optimization
print.pava	Generalized Pooled-Adjacent-Violators Algorithm (PAVA)
pSolver	Quantile Regression
sSolver	Negative Poisson Log-Likelihood
summary.activeset	Active Set Methods for Isotone Optimization
weighted.fractile	Weighted Median
weighted.median	Weighted Median