Computes the weighted fractile of a numeric vector
● Data Source:
CranContrib
● Keywords: models
● Alias: weighted.fractile
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fSolver
(Package: isotone) :
User-Specified Loss Function
Specification of a differentiable convex loss function.
● Data Source:
CranContrib
● Keywords: models
● Alias: fSolver
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eSolver
(Package: isotone) :
L1 approximation
Solves an L1 approximation.
● Data Source:
CranContrib
● Keywords: models
● Alias: eSolver
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hSolver
(Package: isotone) :
Huber Loss Function
Solver for Huber's robust loss function.
● Data Source:
CranContrib
● Keywords: models
● Alias: hSolver
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Minimizes soft insensitive loss function (SILF) for support vector regression.
● Data Source:
CranContrib
● Keywords: models
● Alias: iSolver
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dSolver
(Package: isotone) :
Absolute Value Norm
Solver for the least absolute value norm with optional weights.
● Data Source:
CranContrib
● Keywords: models
● Alias: dSolver
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activeSet
(Package: isotone) :
Active Set Methods for Isotone Optimization
Isotone optimization can be formulated as a convex programming problem with simple linear constraints. This functions offers active set strategies for a collection of isotone optimization problems pre-specified in the package.
● Data Source:
CranContrib
● Keywords: models
● Alias: activeSet, print.activeset, summary.activeset
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Solver for Lp-norm.
● Data Source:
CranContrib
● Keywords: models
● Alias: oSolver
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sSolver
(Package: isotone) :
Negative Poisson Log-Likelihood
Solver for the negative Poisson log-likelihood
● Data Source:
CranContrib
● Keywords: models
● Alias: sSolver
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gpava
(Package: isotone) :
Generalized Pooled-Adjacent-Violators Algorithm (PAVA)
Pooled-adjacent-violators algorithm for general isotone regression problems. It allows for general convex target function, multiple measurements, and different approaches for handling ties.
● Data Source:
CranContrib
● Keywords: models
● Alias: gpava, plot.pava, print.pava
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