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

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.

Version: 1.0
Published: 2018-10-22
Author: Jade Giguelay
Maintainer: Francois Deslandes <francois.deslandes at inra.fr>
License: CC BY 4.0
NeedsCompilation: no
CRAN checks: pkmon results

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Reference manual: pkmon.pdf
Package source: pkmon_1.0.tar.gz
Windows binaries: r-devel: pkmon_1.0.zip, r-devel-gcc8: pkmon_1.0.zip, r-release: pkmon_1.0.zip, r-oldrel: pkmon_1.0.zip
OS X binaries: r-release: pkmon_1.0.tgz, r-oldrel: pkmon_1.0.tgz
Old sources: pkmon archive

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