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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:825a77321f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-linux | OK | Nov 06 2024 |
Exports:BaseNormDeltadmixSplinedSplinefMonotonekKnotpEmppMonotonermixSplinerSpline
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Least-squares estimator under k-monotony constraint for discrete functions | pkmon-package pkmon |
| Normalized spline basis | BaseNorm |
| Discrete laplacian | Delta |
| Estimators of discrete probabilities under k-monotony constraint | fMonotone pMonotone |
| k-Knot | kKnot |
| Empirical estimator of a discrete function | pEmp |
| Random generation and distribution function of k-monotone densities | dmixSpline dSpline rmixSpline rSpline |