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pkmon  

Least-Squares Estimator under k-Monotony Constraint for Discrete Functions
View on CRAN: Click here


Download and install pkmon package within the R console
Install from CRAN:
install.packages("pkmon")

Install from Github:
library("remotes")
install_github("cran/pkmon")

Install by package version:
library("remotes")
install_version("pkmon", "1.1")



Attach the package and use:
library("pkmon")
Maintained by
Francois Deslandes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-24
Latest Update: 2023-08-28
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) . 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) , and from mixtures of splines.
How to cite:
Francois Deslandes (2016). pkmon: Least-Squares Estimator under k-Monotony Constraint for Discrete Functions. R package version 1.1, https://cran.r-project.org/web/packages/pkmon. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.9 (2016-09-24 12:40), 1.0 (2018-10-22 10:10)
Other packages that cited pkmon R package
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Other R packages that pkmon depends, imports, suggests or enhances
Complete documentation for pkmon
Functions, R codes and Examples using the pkmon R package
Some associated functions: BaseNorm . Delta . Spline . estMonotone . kKnot . pEmp . pkmon-package . 
Some associated R codes: Estim_fkmon.R . Estim_pkmon.R . Simul_kmon.R . auxiliary_functions.R .  Full pkmon package functions and examples
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