betaKS3_R: Kolmogorov-Smirnov Sensitivity Using Smoothing CDF.

In sergioventurini/SAuR: Sensitivity Analysis Using R

Description

Computation of the following sensitivity measures: Kolmogorov-Smirnov distance beta, Borgonovo's delta, Kuiper's discrepancy kappa, Pearson's correlation ratio eta2 and Wald-Wolfowitz number of runs (normalized), as well as the corresponding conditional shift/separation measurements.

Usage

betaKS3_R(data, MP = NULL, gfx = NULL, outcol = NULL)

Arguments

data	An object of class SAuR_data containing the model's inputs
MP	A numeric vector indicating the number of partition to use.
gfx	A length-one character vector providing the plot main title
outcol	A length-one numeric vector indicating the output column to focus on

Value

A list object containing the sensitivity measures described above.

Author(s)

Sergio Venturini [e-mail]

References

Venturini, S., Borgonovo, E. (2020), "Sensitivity Analysis Using R: the SAuR Package", Technical report.

Examples

## Not run: 
data(simdata_sub, package = "SAuR")


## End(Not run)

sergioventurini/SAuR documentation built on Dec. 8, 2019, 5:20 p.m.