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/11858/00-1735-0000-002E-E306-0>.
| Version: | 0.1.0 |
| Imports: | spatstat |
| Published: | 2020-07-27 |
| Author: | Sebastian O. Schneider [aut, cre, prg], Giulia Baldini [edt, prg], Paul Eilers [ctb] (Functions tpower and bbase, see Package JOPS at http://statweb.lsu.edu/faculty/marx/JOPS_0.1.0.tar.gz) |
| Maintainer: | Sebastian O. Schneider <sschneider at coll.mpg.de> |
| License: | GPL-3 |
| URL: | http://www.sebastianschneider.eu |
| NeedsCompilation: | no |
| CRAN checks: | utilityFunctionTools results |
| Reference manual: | utilityFunctionTools.pdf |
| Package source: | utilityFunctionTools_0.1.0.tar.gz |
| Windows binaries: | r-devel: utilityFunctionTools_0.1.0.zip, r-release: utilityFunctionTools_0.1.0.zip, r-oldrel: utilityFunctionTools_0.1.0.zip |
| macOS binaries: | r-release: utilityFunctionTools_0.1.0.tgz, r-oldrel: utilityFunctionTools_0.1.0.tgz |
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