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tsmethods

1.0.3Package record

Time Series Methods

6packages depend
6.1Kdownloads / year
14.0%test coverage
13/13flavors OK

Overview

About

Generic methods for use in a time series probabilistic framework, allowing for a common calling convention across packages. Additional methods for time series prediction ensembles and probabilistic plotting of predictions is included. A more detailed description is available at https://www.nopredict.com/packages/tsmethods which shows the currently implemented methods in the 'tsmodels' framework.

Changes in 1.0.3
  • Added a number of new generic methods to be used in tsaux and upcoming

tsbsm package.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.3
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.0.3Citation fileNoWebsiteYes
Help pages
42 (1 internal)includes a package overview page
Examples that run
100%3 run in a plain check
Exported functions with examples
3%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

6.1K
CRAN downloads in the past year
Rank #10,210 · ~17/day · ~508/mo
Daily download trend is not available in this view yet.
41030 days
97990 days
6.1K1 year
Compare downloads with other packages →
Also on154 r2u7 autocran

Repository

3Stars
0Forks
0Open issues
0Open PRs
0Releases
33Commits
3Commit identities
33 commits · Last activity 2026-02-14 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2025-03-09 · 32026-07-07 · 3
PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/tsmodels/tsmethods on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing tsmethods adds 3 packages (3 with compiled code, 6.8 MB of source tarballs). Heaviest: data.table 5.7 MB, zoo 675 KB, xts 470 KB.

Depends (0)
none
Imports (4)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
6direct
0indirect
Depends 6
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.3Latest
    record
    2026-02-15 · current release · diff ↗ ·
    added 11 exports
    add_anomaly, add_ar, add_arma, add_custom, add_distribution, add_holiday, add_ma, add_polynomial, add_regressor, add_seasonal, add_transform
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.2
    record
    2024-09-23 · diff ↗ ·
    added 4 exports
    distribution_list, tscokurt, tsconvolve, tscoskew
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    record
    2024-03-18 · diff ↗
  • 1.0.0
    record
    2024-03-09
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-09
Total releases
4 / 2 yrs
License
GPL-2 OSI
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tsmethods")
Galanos, A. (2026). tsmethods: Time Series Methods (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.tsmethods

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 tsmethods version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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