Learn R Programming

WRI (version 0.2.1)

wass_R2: Compute Wasserstein Coefficient of Determination

Description

Compute Wasserstein Coefficient of Determination

Usage

wass_R2(wass_regress_res)

Value

Wasserstein \(R^2\), the Wasserstein coefficient of determination

Arguments

wass_regress_res

an object returned by the wass_regress function

References

Frechet regression for random objects with Euclidean predictors, Alexander Petersen and Hans-Georg Müller, 2019

Examples

Run this code
data(strokeCTdensity)
predictor = strokeCTdensity$predictors
dSup = strokeCTdensity$densitySupport
densityCurves = strokeCTdensity$densityCurve

res = wass_regress(rightside_formula = ~., Xfit_df = predictor,
Ymat = densityCurves, Ytype = 'density', Sup = dSup)
wass_r2 = wass_R2(res)

Run the code above in your browser using DataLab