R: Active Set and Generalized PAVA for Isotone Optimization

# Active Set and Generalized PAVA for Isotone Optimization

## Documentation for package ‘isotone’ version 1.1-2

- 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