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pkmon

Least-Squares Estimator under k-Monotony Constraint for Discrete Functions

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About

We implement two least-squares estimators under k-monotony constraint using a method based on the Support Reduction Algorithm from Groeneboom et al (2008) doi:10.1111/j.1467-9469.2007.00588.x. The first one is a projection estimator on the set of k-monotone discrete functions. The second one is a projection on the set of k-monotone discrete probabilities. This package provides functions to generate samples from the spline basis from Lefevre and Loisel (2013) doi:10.1239/jap/1378401239, and from mixtures of splines.

Key Metrics

Version 1.1
Published 2023-08-28 408 days ago
Needs compilation? no
License CC BY 4.0
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Maintainer

Maintainer

Francois Deslandes

Authors

Jade Giguelay

Material

Reference manual
Package source

macOS

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arm64

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arm64

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x86_64

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x86_64

Windows

r-devel

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Old Sources

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