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>.
||Sebastian O. Schneider [aut, cre, prg],
Giulia Baldini [edt, prg],
Paul Eilers [ctb] (Functions tpower and bbase, see Package JOPS at
||Sebastian O. Schneider <sschneider at coll.mpg.de>
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