utilityFunctionTools
1.0P-Spline Regression for Utility Functions and Derived Measures
Overview
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>.
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Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
11 9 exported
Complexity
11 avg / 38 max
Call network
11 nodes / 11 edges
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Open call graph →Lowest coverage
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.12021-03-29 · diff ↗
- 0.1.02020-07-27
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-07-27
- Total releases
- 3 / 6 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
- not tracked yet