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wwntests

1.1.0Package record

Hypothesis Tests for Functional Time Series

0packages depend
2.3Kdownloads / year
70.9%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.1.0
  • Added a GOF_fartest to check the goodness-of-fit of FAR(1) models.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-10
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
29
Examples that run
100%10 run in a plain check
Exported functions with examples
91%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
24%
Vignettes (1)

Downloads

2.3K
CRAN downloads in the past year
Rank #19,794 · ~6/day · ~195/mo
Daily download trend is not available in this view yet.
22830 days
67290 days
2.3K1 year
Compare downloads with other packages →
Also on70 r2u3 autocran73 c2d4u

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Responsiveness
not measured
PracticesBeta

Checks run against github.com/veritasmih/wwntests on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing wwntests adds 114 packages (65 with compiled code, 92 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
Imports (7)
sdestatsftsarainbowMASSgraphicsfda
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.2 (2022) · added in 1.0.2

Previously maintained by Daniel Petoukhov (1.0.0 to 1.0.1).

Releases (4)

Pick two releases to compare their code metrics.

  • 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
    record
    2023-12-01 · current release · diff ↗ ·
    added 1 export
    GOF_far
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-11-01
  • 1.0.2
    record
    2022-11-01 · diff ↗
  • 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
    record
    2020-05-18 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.0
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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