Package: WRI
Type: Package
Title: Wasserstein Regression and Inference
Version: 0.2.0
Authors@R: c(
    person("Xi", "Liu", email = "xiliu@ucsb.edu", role = c("aut", "cre")),
    person("Chao", "Zhang", email = "czhang@pstat.ucsb.edu", role = "aut"),
    person("Matthew", "Coleman", email = "matthewbcoleman@ucsb.edu", role = "aut"),
    person("Alexander", "Petersen", email = "petersen@pstat.ucsb.edu", role = "aut"))
Author: Xi Liu [aut, cre],
  Chao Zhang [aut],
  Matthew Coleman [aut],
  Alexander Petersen [aut]
Description: 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.
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.6.0)
Imports: fdapace (>= 0.2.0), fdadensity (>= 0.1.2), Rfast (>= 1.9.8),
        CVXR (>= 0.99.7), expm (>= 0.999-4), ggplot2 (>= 3.2.1),
        gridExtra (>= 2.3), stats, Rcpp (>= 1.0.3), locfit (>=
        1.5-9.1), mvtnorm (>= 1.1-0), locpol (>= 0.7), modeest (>=
        2.4.0), methods, rlang, polynom
RoxygenNote: 7.2.0
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-07-08 22:56:17 UTC; czhang
Maintainer: Xi Liu <xiliu@ucsb.edu>
Repository: CRAN
Date/Publication: 2022-07-08 23:30:11 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2025-11-28 04:56:15 UTC; unix
Archs: WRI.so.dSYM
