timetk

2.9.1

A Tool Kit for Working with Time Series

20packages depend

225.2Kdownloads / year

26.8%test coverage

13/13checks pass

Overview

About

Maintained by Matt DanchoFirst published 2017-07-2524 releasesCRAN page ↗GitHub ↗

Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("timetk", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("business-science/timetk")

Development version from business-science/timetk. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-timetk

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-timetk

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-timetk

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 8.5 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.11

26.8%

Coverage · measured lines

97%

Documentation · exports

Dependencies · direct

Check history

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,173 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 95%
Documented parameters: 100%
Return-value docs: 100%
References docs: 21%

Downloads

225.2K

CRAN downloads in the past year

Rank #984 · ~617/day · ~18.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

12.5K30 days

46.4K90 days

225.2K1 year

Compare downloads with other packages →

Also on1.8K r2u45 autocran7K conda_forge78 c2d4u

Repository

GitHub ↗ business-science/timetk

644Stars

105Forks

38Open issues

5Open PRs

6Releases

683Commits

18Contributors

time-seriestimeseriestidyversedplyrtidyquanttidytibblecoercion-functions

683 commits · Last activity 2025-08-29 · +0.2% stars, 30d

Stars over time

2025-07-19 · 6282026-07-07 · 644

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/business-science/timetk on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Show all practices

Coverage (1)

Codecov

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

Dependencies

Declared dependencies

39 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.3.0

Imports (25)

recipes rsample dplyr ggplot2 (>= 3.4.0)forcats stringr plotly lubridate padr purrr readr stringi (>= 1.4.6)tibble tidyr xts zoo rlang tidyselect slider anytime timeDate forecast tsfeatures hms generics

LinkingTo (0)

none

Suggests (14)

modeltime glmnet workflows parsnip tune knitr rmarkdown broom scales testthat fracdiff timeSeries tseries trelliscopejs

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

20direct

2indirect

FFdownload LLMAgentR PortalHacienda alphavantager anomalize finnts healthyR healthyR.ts modeltime modeltime.ensemble modeltime.resample sweep tidyquant tidyspec FinanceGraphs RTL bspcov cleanTS healthyR.ai tsgc

Code & Tests

Code Composition

R 21,509 (65%)Rd 9,553 (29%)Vignettes 2,261 (7%)

Code characteristics

Object systems

S3267

Cyclomatic complexity: 1.0 median / 51 max
Test cases: 89 / 0.11 per code line

Test coverage

Line coverage

27%

Expression

33.6%

Tests / Examples

26.8% / 71% ex

Functions

471 108 exported

Complexity

2.6 avg / 51 max

Call network

471 nodes / 382 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

471 functions

Function	Cyclo	Coverage
anomalize exp	5	0%
auto_lambda exp	1	0%
box_cox_inv_vec exp	4	0%
box_cox_vec exp	5	0%
condense_period exp	2	0%
diff_inv_vec exp	10	0%

Datasets

Bundled datasets · 11

Name	Class	Rows × Cols	Also ships in
FANG	tbl_df/tbl/data.frame	4,032 × 8	in 2 packages
bike_sharing_daily	spec_tbl_df/tbl_df/tbl/data.frame	731 × 16	–
m4_daily	tbl_df/tbl/data.frame	9,743 × 3	–
m4_hourly	tbl_df/tbl/data.frame	3,060 × 3	–
m4_monthly	tbl_df/tbl/data.frame	1,574 × 3	–
m4_quarterly	tbl_df/tbl/data.frame	196 × 3	–
m4_weekly	tbl_df/tbl/data.frame	2,295 × 3	–
m4_yearly	tbl_df/tbl/data.frame	135 × 3	–
taylor_30_min	tbl_df/tbl/data.frame	4,032 × 2	in 2 packages
walmart_sales_weekly	tbl_df/tbl/data.frame	1,001 × 17	in 2 packages
wikipedia_traffic_daily	tbl_df/tbl/data.frame	5,500 × 3	–

People & History

People (2)

Maintainer (1)

Matt Dancho

Author, Maintainer

Authors (2)

Matt Dancho

Author, Maintainer

Davis Vaughan

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.9.1Latest
2025-08-29 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.9.0
2023-10-31 · diff ↗
2.8.4
2023-09-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.8.3
2023-03-30 · diff ↗
unarchivedReturned to CRAN
2023-03-30
archivedRemoved from CRAN
2023-03-27
issues were not corrected in time
2.8.2
2022-11-17 · diff ↗
2.8.1
2022-05-31 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.8.0
2022-04-07 · diff ↗
2.7.0
2022-01-19 · diff ↗
2.6.2
2021-11-16 · diff ↗

Show 22 earlier events

R
R 4.1.0 released · 2021-05-18
2.6.1
2021-01-18 · diff ↗
2.6.0
2020-11-21 · diff ↗
2.5.0
2020-10-22 · diff ↗
2.4.0
2020-10-08 · diff ↗
2.3.0
2020-09-29 · diff ↗
2.2.1
2020-09-01 · diff ↗
2.2.0
2020-07-18 · diff ↗
2.1.0
2020-07-03 · diff ↗
2.0.0
2020-05-31 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.0.0
2020-04-19 · diff ↗
0.1.3
2020-03-18 · diff ↗
0.1.2
2019-09-25 · diff ↗
unarchivedReturned to CRAN
2019-09-25
R
R 3.6.0 released · 2019-04-26
0.1.1.1
2018-08-19 · diff ↗
orphanedOrphaned by its maintainer
2018-08-19
check problems were not corrected despite reminders
0.1.1
2018-05-14 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.0
2017-07-25
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-25
Total releases: 24 / 9 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.3.0
Bundled data: 224 KB / 11 files
Download size: 3.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

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