Package: utilityFunctionTools 0.1.1

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>.

Authors:Sebastian O. Schneider [aut, cre, prg], Giulia Baldini [edt, prg], Paul Eilers [ctb]

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utilityFunctionTools.pdf |utilityFunctionTools.html✨
utilityFunctionTools/json (API)

# Install 'utilityFunctionTools' in R:
install.packages('utilityFunctionTools', repos = c('https://sebastianoschneider.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 173 downloads 9 exports 8 dependencies

Last updated 4 years agofrom:fb65071ad2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:bbasecompute_functioncompute_higher_order_risk_preferencescompute_measuresderivativeestimate_modelevaluate_cross_validationfind_optimal_lambdatpower

Dependencies:deldirlatticeMatrixpolyclipspatstat.dataspatstat.geomspatstat.univarspatstat.utils