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wwntests

1.1.0

Hypothesis Tests for Functional Time Series

0packages depend
2.2Kdownloads / year
70.9%test coverage
13/13checks pass

Overview

About
Maintained by Mihyun KimFirst published 2019-06-194 releasesCRAN page ↗GitHub ↗

Provides a collection of white noise hypothesis tests for functional time series and related visualizations. These include tests based on the norms of autocovariance operators that are built under both strong and weak white noise assumptions. Additionally, tests based on the spectral density operator and on principal component dimensional reduction are included, which are built under strong white noise assumptions. Also, this package provides goodness-of-fit tests for functional autoregressive of order 1 models. These methods are described in Kokoszka et al. (2017) doi:10.1016/j.jmva.2017.08.004, Characiejus and Rice (2019) doi:10.1016/j.ecosta.2019.01.003, Gabrys and Kokoszka (2007) doi:10.1198/016214507000001111, and Kim et al. (2023) <doi: 10.1214/23-SS143> respectively.

Install

Health

CRAN checks
13OK
Slowest check: 19.5 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.13
70.9%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-09
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
24%

Downloads

2.2K
CRAN downloads in the past year
Rank #17,491 · ~6/day · ~179/mo
Daily download trend is not available in this view yet.
14330 days
61790 days
2.2K1 year
Compare downloads with other packages →
Also on98 r2u11 autocran36 c2d4u

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2022-09-07

Repository practices

Upstream repositoryBeta

Checks run against github.com/veritasmih/wwntests on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (7)
sdestatsftsarainbowMASSgraphicsfda
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer · added in 1.0.2
Authors (2)
Author, Maintainer · added in 1.0.2
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0Latest
    2023-12-01 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    2022-11-01 · diff ↗
  • unarchivedReturned to CRAN
    2022-11-01
  • archivedRemoved from CRAN
    2022-05-13
    check issues were not corrected in time Uses 'fOptions' unconditionally
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    2020-05-18 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.0
    2019-06-19
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-06-19
Total releases
4 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Download size
35 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wwntests")
Kim, M., & Petoukhov, D. (2023). wwntests: Hypothesis Tests for Functional Time Series (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.wwntests

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for wwntests version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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