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WRI: Wasserstein Regression and Inference

Implementation of the methodologies described in 1) Alexander Petersen, Xi Liu and Afshin A. Divani (2021) <doi:10.1214/20-aos1971>, including global F tests, partial F tests, intrinsic Wasserstein-infinity bands and Wasserstein density bands, and 2) Chao Zhang, Piotr Kokoszka and Alexander Petersen (2022) <doi:10.1111/jtsa.12590>, including estimation, prediction, and inference of the Wasserstein autoregressive models.

Version:0.2.1
Depends:R (≥ 3.6.0)
Imports:fdapace (≥ 0.2.0),Rfast (≥ 1.9.8),CVXR (≥ 0.99.7),expm (≥ 0.999-4),ggplot2 (≥ 3.2.1),gridExtra (≥ 2.3), stats,Rcpp (≥ 1.0.3),mvtnorm (≥ 1.1-0), methods,rlang,polynom
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown,testthat (≥ 2.1.0),modeest
Published:2025-12-16
DOI:10.32614/CRAN.package.WRI
Author:Xi Liu [aut, cre], Chao Zhang [aut], Matthew Coleman [aut], Alexander Petersen [aut]
Maintainer:Xi Liu <xiliu at ucsb.edu>
License:GPL-2
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:WRI results

Documentation:

Reference manual:WRI.html ,WRI.pdf
Vignettes:WRI-vignette (source,R code)

Downloads:

Package source: WRI_0.2.1.tar.gz
Windows binaries: r-devel:WRI_0.2.1.zip, r-release:WRI_0.2.0.zip, r-oldrel:WRI_0.2.1.zip
macOS binaries: r-release (arm64):WRI_0.2.1.tgz, r-oldrel (arm64):WRI_0.2.1.tgz, r-release (x86_64):WRI_0.2.1.tgz, r-oldrel (x86_64):WRI_0.2.1.tgz
Old sources: WRI archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=WRIto link to this page.


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