utilityFunctionTools
P-Spline Regression for Utility Functions and Derived Measures
Predicts a smooth and continuous (individual) utility function from utility points, and computes measures of intensity for risk and higher order risk measures (or any other measure computed with user-written function) based on this utility function and its derivatives according to the method introduced in Schneider (2017) http://hdl.handle.net/21.11130/00-1735-0000-002E-E306-0.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/29/2021
Team
Sebastian O. Schneider
Paul Eilers
Show author detailsRolesContributorGiulia Baldini
Show author detailsRolesedt, prg
Insights
Last 30 days
This package has been downloaded 155 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.
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Last 365 days
This package has been downloaded 1,961 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 24 downloads.
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Dependencies
- Imports1 package