Package: utilityFunctionTools 1.0

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]

utilityFunctionTools_1.0.tar.gz
utilityFunctionTools_1.0.zip(r-4.7)utilityFunctionTools_1.0.zip(r-4.6)utilityFunctionTools_1.0.zip(r-4.5)
utilityFunctionTools_1.0.tgz(r-4.6-any)utilityFunctionTools_1.0.tgz(r-4.5-any)
utilityFunctionTools_1.0.tar.gz(r-4.7-any)utilityFunctionTools_1.0.tar.gz(r-4.6-any)
utilityFunctionTools_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
utilityFunctionTools/json (API)

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

On CRAN:

Conda:

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

1.00 score 213 downloads 9 exports 8 dependencies

Last updated from:1f352e39ba. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK139
linux-release-x86_64OK109
macos-release-arm64OK144
macos-oldrel-arm64OK154
windows-develOK75
windows-releaseOK80
windows-oldrelOK90
wasm-releaseOK95

Exports:bbasecompute_functioncompute_higher_order_risk_preferencescompute_measuresderivativeestimate_modelevaluate_cross_validationfind_optimal_lambdatpower

Dependencies:deldirlatticeMatrixpolyclipspatstat.dataspatstat.geomspatstat.univarspatstat.utils