Package: pkmon 1.1

Francois Deslandes

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.

Authors:Jade Giguelay

pkmon_1.1.tar.gz
pkmon_1.1.tar.gz(r-4.5-noble)pkmon_1.1.tar.gz(r-4.4-noble)
pkmon_1.1.tgz(r-4.4-emscripten)pkmon_1.1.tgz(r-4.3-emscripten)
pkmon.pdf |pkmon.html
pkmon/json (API)

# Install 'pkmon' in R:
install.packages('pkmon', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 209 downloads 10 exports 0 dependencies

Last updated 1 years agofrom:825a77321f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 06 2024
R-4.5-linuxOKDec 06 2024

Exports:BaseNormDeltadmixSplinedSplinefMonotonekKnotpEmppMonotonermixSplinerSpline

Dependencies: