R-universe - sebastianoschneider (sebastianoschneider)

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>.

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1.00 score 213 downloads

minMSE - Implementation of the minMSE Treatment Assignment Method for One or Multiple Treatment Groups

Performs treatment assignment for (field) experiments considering available, possibly multivariate and continuous, information (covariates, observable characteristics), that is: forms balanced treatment groups, according to the minMSE-method as proposed by Schneider and Schlather (2017) <DOI:10419/161931>.

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cpp

1.00 score 211 downloads