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mvLSW

1.2.5Package record

Multivariate, Locally Stationary Wavelet Process Estimation

2packages depend
3.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Tools for analysing multivariate time series with wavelets. This includes: simulation of a multivariate locally stationary wavelet (mvLSW) process from a multivariate evolutionary wavelet spectrum (mvEWS); estimation of the mvEWS, local coherence and local partial coherence. See Park, Eckley and Ombao (2014) doi:10.1109/TSP.2014.2343937 for details.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • WARNING12 OK, 1 WARNING2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.5
READMENoVignettesNoNEWSYes · 67% structured · does not mention 1.2.5Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
11
Examples that run
91%10 run in a plain check · 1 hold no code
Exported functions with examples
100%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
100%

Downloads

3.7K
CRAN downloads in the past year
Rank #10,516 · ~10/day · ~305/mo
Daily download trend is not available in this view yet.
32130 days
99690 days
3.7K1 year
Compare downloads with other packages →
Also on385 r2u5 autocran145 c2d4u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing mvLSW adds 10 packages (8 with compiled code, 14 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, maps 2.2 MB.

Depends (6)
R >= 3.2fieldswavethreshxtszoomethods
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Depends 1 · Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (5)
Author, Maintainer since 1.2.4 (2021) · added in 1.2.4
Author
Contributor
Thesis advisor

Previously maintained by Simon Taylor (1.0 to 1.2.3).

Releases (8)

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
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.5Latest
    record
    2022-06-14 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • unarchivedReturned to CRAN
    2021-09-03
  • 1.2.4
    record
    2021-09-03 · diff ↗
  • archivedRemoved from CRAN
    2021-06-01
    check problems were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2.3
    record
    2019-08-05 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.2.2
    record
    2018-10-24 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.2.1
    record
    2017-09-18 · diff ↗
Show 5 earlier eventsHide 5 earlier events
  • 1.2
    record
    2017-08-06 · diff ↗ ·
    removed 1 export
    Asymp_Quantile
    added 1 export
    ApxCI
  • R
    R 3.4.0 released · 2017-04-21
  • 1.1
    record
    2017-02-24 · diff ↗ ·
    removed 13 exports
    mvLSW, single_pqj_plot, panel_j_plot, panel_pq_plot, matrix_j_plot, RawPeriodogram, CorrectBias, AdjPositiveDef, Smooth_EWS, Smooth_GCV, PsiJLmat, modchol, PosDefEst
    added 1 export
    as.mvLSW
  • 1.0
    record
    2016-12-23
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-12-23
Total releases
8 / 10 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.2
Download size
1.0 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mvLSW")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 mvLSW version 1.2.5 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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