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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | pkmon_1.1.tar.gz |
65.7 KiB |
1.1 |
rolling linux/noble R-4.5 | pkmon_1.1.tar.gz |
65.7 KiB |
1.1 |
rolling source/ R- | pkmon_1.1.tar.gz |
10.6 KiB |
1.1 |
latest linux/jammy R-4.5 | pkmon_1.1.tar.gz |
65.7 KiB |
1.1 |
latest linux/noble R-4.5 | pkmon_1.1.tar.gz |
65.7 KiB |
1.1 |
latest source/ R- | pkmon_1.1.tar.gz |
10.6 KiB |
1.1 |
2026-04-26 source/ R- | pkmon_1.1.tar.gz |
10.6 KiB |
1.1 |
2026-04-23 source/ R- | pkmon_1.1.tar.gz |
10.6 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | pkmon_1.1.zip |
68.1 KiB |
1.1 |
2025-04-20 source/ R- | pkmon_1.1.tar.gz |
10.6 KiB |