compute_measures_aux {utilityFunctionTools} | R Documentation |
Given a set of smooth and continuous functions, computes predefined and user-defined measures.
Description
Given a set of smooth and continuous functions, computes predefined and user-defined measures.
Usage
compute_measures_aux(
x_grids,
coeffs,
ids,
ndx = 20,
deg = 6,
measures = c("risk-arrow-pratt", "crainich-eeckhoudt", "denuit-eeckhoudt"),
...
)
Arguments
x_grids |
a dataframe of vectors of x-values for a smooth and continuous function. |
coeffs |
a dataframe of coefficients for a smooth and continuous function for each participant. |
ids |
a list containing the IDs of the participants. If not given, a list with IDs from 1 to n_observations will be created. |
ndx |
number of intervals to partition the distance between the lowest and highest x-values of the utility points. |
deg |
degree of the B-spline basis. Determines the degree of the function to be estimated. If deg = 2, the estimated utility function will consist of quadratic functions. |
measures |
a vector of measures to be computed. |
... |
additional parameters for user-defined measures. |
Value
A set of measurements.