R Observatory: Metrics for modeltime version 1.3.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

modeltime

1.3.5

The Tidymodels Extension for Time Series Modeling

7packages depend

50.3Kdownloads / year

60.5%test coverage

13/13checks pass

Overview

About

Maintained by Matt DanchoFirst published 2020-06-2232 releasesCRAN page ↗GitHub ↗

The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (https://otexts.com/fpp2/). Refer to "Prophet: forecasting at scale" (https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/.).

Install

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

install.packages("modeltime", 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/modeltime")

Development version from business-science/modeltime. 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-modeltime

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-modeltime

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-modeltime

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

Health

CRAN checks

13OK

Slowest check: 8.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.39

60.5%

Coverage · measured lines

99%

Documentation · exports

32

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-29
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-07-27
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-07-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 6 earlier snapshots

WARNING2026-07-03
12 OK · 0 NOTE · 1 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
OK2026-04-05
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-03
13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 623 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 89%
Documented parameters: 98%
Return-value docs: 26%
References docs: 2%

Downloads

50.3K

CRAN downloads in the past year

Rank #2,977 · ~138/day · ~4.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.3K30 days

4.6K90 days

50.3K1 year

Compare downloads with other packages →

Also on503 r2u3.1K conda_forge63 c2d4u

Repository

GitHub ↗ business-science/modeltime

582Stars

84Forks

61Open issues

0Open PRs

18Releases

827Commits

13Contributors

timetime-seriesforecastingtidymodelsmachine-learning-algorithmsmachine-learningprophetarima

827 commits · Last activity 2026-01-30 · +0.7% stars, 30d

Stars over time

2025-08-07 · 5592026-08-14 · 582

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/modeltime on 2026-08-16.

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

55 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (32)

StanHeaders timetk parsnip dials yardstick workflows hardhat rlang glue plotly reactable gt ggplot2 tibble tidyr dplyr purrr stringr forcats scales janitorparallelparallelly doParallel foreach magrittr forecast xgboost prophetmethodscli tidymodels

LinkingTo (0)

none

Suggests (25)

rstan slider sparklyr doRNG workflowsets recipes rsample tune lubridate testthat kernlab glmnet thief smooth greybox earth randomForest trelliscopejs knitr rmarkdown webshot qpdf TSrepr future doFuture

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

7direct

0indirect

finnts modeltime.ensemble modeltime.resample LLMAgentR healthyR.ai healthyR.ts timetk

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Matt Dancho

Author, Maintainer

Authors (1)

Matt Dancho

Author, Maintainer

Copyright holders (1)

Business Science

Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.3.5Latest
2026-01-31 · current release · diff ↗
1.3.3
2025-12-17 · diff ↗
1.3.2
2025-08-29 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.3.1
2024-10-22 · diff ↗
1.3.0
2024-07-29 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.8
2023-09-02 · diff ↗
1.2.7
2023-07-03 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.2.6
2023-03-31 · diff ↗
unarchivedReturned to CRAN
2023-03-31
archivedRemoved from CRAN
2023-03-27
requires archived package 'timetk'
1.2.5
2023-02-07 · diff ↗
1.2.4
2022-11-16 · diff ↗

Show 25 earlier events

1.2.3
2022-10-18 · diff ↗
1.2.2
2022-06-07 · diff ↗
1.2.1
2022-06-01 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.2.0
2022-04-07 · diff ↗
1.1.1
2022-01-12 · diff ↗
1.1.0
2021-10-18 · diff ↗
1.0.0
2021-09-14 · diff ↗
0.7.0
2021-07-16 · diff ↗
0.6.1
2021-06-13 · diff ↗
0.6.0
2021-05-30 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.5.1
2021-04-03 · diff ↗
0.5.0
2021-03-29 · diff ↗
0.4.2
2021-03-19 · diff ↗
0.4.1
2021-01-17 · diff ↗
0.4.0
2020-11-23 · diff ↗
0.3.1
2020-11-09 · diff ↗
0.3.0
2020-10-28 · diff ↗
0.2.1
2020-10-08 · diff ↗
0.2.0
2020-09-28 · diff ↗
0.1.0
2020-09-02 · diff ↗
0.0.2
2020-07-03 · diff ↗
0.0.1
2020-06-22
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-06-22
Total releases: 32 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 65 KB / 4 files
Download size: 3.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modeltime")

Format

Dancho, M., & Business Science. (2026). modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.5) [Computer software]. https://doi.org/10.32614/CRAN.package.modeltime

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for modeltime version 1.3.5 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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