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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: | 1.1 |
| Published: | 2023-08-28 |
| Author: | Jade Giguelay |
| Maintainer: | Francois Deslandes <francois.deslandes at inra.fr> |
| License: | CC BY 4.0 |
| NeedsCompilation: | no |
| CRAN checks: | pkmon results |
| Reference manual: | pkmon.pdf |
| Package source: | pkmon_1.1.tar.gz |
| Windows binaries: | r-devel: pkmon_1.1.zip, r-release: pkmon_1.1.zip, r-oldrel: pkmon_1.1.zip |
| macOS binaries: | r-release (arm64): pkmon_1.1.tgz, r-oldrel (arm64): pkmon_1.1.tgz, r-release (x86_64): pkmon_1.1.tgz, r-oldrel (x86_64): pkmon_1.1.tgz |
| Old sources: | pkmon archive |
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