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.
- Version1.1
- R versionunknown
- LicenseCC BY 4.0
- Needs compilation?No
- Last release08/28/2023
Team
Jade Giguelay
Insights
Last 30 days
This package has been downloaded 181 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,603 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 33 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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