confidenceBands | Confidence Bands for Wasserstein Regression |
den2Q_qd | convert density function to quantile and quantile density... |
Exp_Map_Barycenter_Method | Numerical implementation of the Exponential map |
Exp_Map_Barycenter_Method_pw | Numerical implementation of the pointwise Exponential map |
getInnovation | Calculating innovations in WAR(p) models |
globalFstat | An internal function used in bootstrap global F test |
globalFtest | global F test for Wasserstein regression |
partialFtest | partial F test for Wasserstein regression |
predict.WARp | Prediction by WAR(p) models |
print.summary.WRI | print the summary of WRI object |
quadraticQ | An internal function to do quadratic program in order to make... |
quan2den_qd | convert density function to quantile and quantile density... |
Sample_ACV | Function for calculating sample autocovariance |
simulate_quantile_curves | Simulate quantile curves |
strokeCTdensity | Stroke data: clinical, radiological scalar variables and... |
summary.WRI | Summary Function of Wasserstein Regression Model |
WARp | WAR(p) models: estimation and forecast |
WARp_acvfs | Function for calculating sample Wasserstein autocovariance... |
WARp_forecast_tangent | Forecast using WAR(p) models |
warSim | Generate simulation data |
wass_R2 | Compute Wasserstein Coefficient of Determination |
wass_regress | Perform Frechet Regression with the Wasserstein Distance |
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