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WRI

An R package for the paper “Wasserstein F-tests and confidence bands for the Frechet regression of density response curves”.

Installation

You can install the released version of WRI from CRAN with:

install.packages("WRI")

Example

This is a basic example which shows you how to solve a common problem:

library(WRI)
data(strokeCTdensity)
predictor = strokeCTdensity$predictors
dSup = strokeCTdensity$densitySupport
densityCurves = strokeCTdensity$densityCurve
xpred = predictor[3, ]

res = wass_regress(rightside_formula = ~., Xfit_df = predictor,
Ytype = 'density', Ymat = densityCurves, Sup = dSup)
# compute the density band for the third observation
confidence_Band1 = confidenceBands(res, Xpred_df = xpred, type = 'density')

Main components

• strokeCTdensity: clinical, radiological scalar variables and density curves of the hematoma of 393 stroke patients
• wass_regress: perform Frechet Regression with the Wasserstein Distance
• wass_R2: compute Wasserstein coefficient of determination
• globalFtest: perform global F test for Wasserstein regression
• partialFtest: perform partial F test for Wasserstein regression
• summary.WRI: provide summary information of Wasserstein regression
• confidenceBands: compute intrinsic confidence bands and density bands

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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