Package: WRI 0.2.0

Xi Liu

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.

Authors:Xi Liu [aut, cre], Chao Zhang [aut], Matthew Coleman [aut], Alexander Petersen [aut]

WRI_0.2.0.tar.gz
WRI_0.2.0.tar.gz(r-4.5-noble)WRI_0.2.0.tar.gz(r-4.4-noble)
WRI_0.2.0.tgz(r-4.4-emscripten)WRI_0.2.0.tgz(r-4.3-emscripten)
WRI.pdf |WRI.html
WRI/json (API)
NEWS

# Install 'WRI' in R:
install.packages('WRI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • strokeCTdensity - Stroke data: clinical, radiological scalar variables and density curves of the hematoma of 393 stroke patients

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.70 score 4 scripts 163 downloads 10 exports 100 dependencies

Last updated 2 years agofrom:16afc2752b. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-linux-x86_64NOTEDec 18 2024

Exports:confidenceBandsden2Q_qdglobalFtestpartialFtestquan2den_qdsimulate_quantile_curvesWARpwarSimwass_R2wass_regress

Dependencies:backportsbase64encbitbit64bslibcachemcheckmatecliclueclustercolorspaceCVXRdata.tabledigestECOSolveRevaluateexpmfansifarverfastmapfBasicsfdadensityfdapacefontawesomeforeignFormulafsggplot2gluegmpgridExtragssgtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelocfitlocpolmagrittrMASSMatrixmemoisemgcvmimemodeestmunsellmvtnormnlmennetnumDerivosqppillarpkgconfigpolynompracmaR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRfastrlangrmarkdownRmpfrrmutilrpartrstudioapisassscalesscsspatialstablestablediststatipstringistringrtibbletimeDatetimeSeriestinytexutf8vctrsviridisviridisLitewithrxfunyaml

Introduction to the WRI Package

Rendered fromWRI-vignette.Rmdusingknitr::rmarkdownon Dec 18 2024.

Last update: 2020-11-23
Started: 2020-11-23