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.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 78%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
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 ↗
- unarchivedReturned to CRAN2021-03-29
- archivedRemoved from CRAN2021-03-28issues were not corrected in time
- 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
- 108 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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