Package: pkmon
Type: Package
Title: Least-Squares Estimator under k-Monotony Constraint for Discrete
        Functions
Version: 1.0
Date: 2018-10-18
Author: Jade Giguelay
Maintainer: Francois Deslandes <francois.deslandes@inra.fr>
Description: 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.
License: CC BY 4.0
Packaged: 2018-10-18 11:33:35 UTC; fdeslandes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-10-22 08:10:03 UTC
Built: R 4.1.1; ; 2021-09-10 17:59:32 UTC; windows
