R Observatory: Metrics for modeltime version 1.3.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

modeltime

1.3.5Package record

The Tidymodels Extension for Time Series Modeling

5packages dependsuggested by 1

32.9Kdownloads / year

60.5%test coverage

13/13flavors OK

Overview

About

Maintained by Matt DanchoCRAN page ↗GitHub ↗Website ↗Issues ↗

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/.).

Changes in 1.3.5

Fix arima_boost() example failure on R-devel by adding a default for include.constant in the ARIMA-XGBoost bridge.

From NEWS.md in the release

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 7.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-29
ERROR12 OK, 1 ERROR2026-07-27
OK13 OK2026-07-04

Show 6 earlier changesHide 6 earlier changes

WARNING12 OK, 1 WARNING2026-07-03
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-05
NOTE13 OK, 1 NOTE2026-04-03
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.5

READMEYes · 623 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.3.5Citation fileNoWebsiteYes · pkgdown

Help pages: 115 (52 internal)
Examples that run: 87%46 run in a plain check (2 of them under a condition) · 6 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 45%
Documented parameters: 98%
Return-value docs: 26%
Help pages citing references: 2%

Vignettes (1)

Getting Started with Modeltime HTML

How these are measured

Downloads

32.9K

CRAN downloads in the past year

Rank #3,054 · ~90/day · ~2.7K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.6K30 days

4.2K90 days

32.9K1 year

Compare downloads with other packages →

Also on443 r2u3 autocran2.9K conda_forge168 c2d4u

How downloads are counted

Repository

business-science/modeltime ↗Organization: business-science

585Stars

86Forks

61Open issues

1Open PRs

18Releases

827Commits

13Commit identities

timetime-seriesforecastingtidymodelsmachine-learning-algorithmsmachine-learningprophetarima

827 commits · Last activity 2026-01-30 · +0.2% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 91%
Median days to close, 50 most recently updated closed issues: 58
Median days to close, 50 most recently updated closed PRs: 2

Stars over time

2025-09-10 · 5632026-10-21 · 585

How these are measured

PracticesBeta

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

Checks run against github.com/business-science/modeltime on 2026-10-18.

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 (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-01-30 · The repository has a site deploy workflow

pkgdown site last built 2026-01-30, before release 1.3.5 (2026-01-31)

Coverage (1)

Coverage reporting (Codecov)

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

55 external dependencies (excludes base and recommended)

Installing modeltime adds 180 packages (86 with compiled code, 147 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

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

5direct

0indirect

Depends 3 · Imports 2

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

modeltime.resample healthyR.ts finnts modeltime.ensemble LLMAgentR

Suggests, most downloaded first

timetk

How these are counted

Code & Tests

Datasets

People & History

People (2)

Matt Dancho

Author, Maintainer since 0.0.1 (2020)

Business Science

Copyright holder

Releases (32)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.3.5Latest
record
2026-01-31 · current release · diff ↗
1.3.3
record
2025-12-17 · diff ↗
1.3.2
record
2025-08-29 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.3.1
record
2024-10-22 · diff ↗ ·
added 2 exports
ets_model, loss
1.3.0
record
2024-07-29 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.8
record
2023-09-02 · diff ↗
1.2.7
record
2023-07-03 · diff ↗
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2023-03-31
1.2.6
record
2023-03-31 · diff ↗
archivedRemoved from CRAN
2023-03-27
requires archived package 'timetk'
1.2.5
record
2023-02-07 · diff ↗
1.2.4
record
2022-11-16 · diff ↗

Show 25 earlier eventsHide 25 earlier events

1.2.3
record
2022-10-18 · diff ↗ ·
added 1 export
drop_modeltime_model
1.2.2
record
2022-06-07 · diff ↗
1.2.1
record
2022-06-01 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.2.0
record
2022-04-07 · diff ↗
1.1.1
record
2022-01-12 · diff ↗
1.1.0
record
2021-10-18 · diff ↗ ·
added 18 exports
Adam_predict_impl, Auto_adam_predict_impl, adam_fit_impl, adam_reg, auto_adam_fit_impl, damping_smooth, distribution, extract_nested_modeltime_table, extract_nested_test_split, information_criteria, outliers_treatment, probability_model, regressors_treatment, select_order, smooth_fit_impl, smooth_predict_impl, trend_smooth, use_constant
1.0.0
record
2021-09-14 · diff ↗ ·
added 20 exports
control_nested_fit, control_nested_forecast, control_nested_refit, extend_timeseries, extended_forecast_accuracy_metric_set, extract_nested_best_model_report, extract_nested_error_report, extract_nested_future_forecast, extract_nested_test_accuracy, extract_nested_test_forecast, extract_nested_train_split, maape, maape_vec, make_ts_splits, modeltime_nested_fit, modeltime_nested_forecast, modeltime_nested_refit, modeltime_nested_select_best, nest_timeseries, split_nested_timeseries
0.7.0
record
2021-07-16 · diff ↗ ·
added 5 exports
combination_method, temporal_hier_fit_impl, temporal_hier_predict_impl, temporal_hierarchy, use_model
0.6.1
record
2021-06-13 · diff ↗ ·
removed 3 exports
check_class_and_single, check_class_integer, val_class_and_single

added 3 exports
create_model_grid, parallel_start, parallel_stop
0.6.0
record
2021-05-30 · diff ↗ ·
added 14 exports
check_class_and_single, check_class_integer, control_fit_workflowset, control_refit, croston_fit_impl, croston_predict_impl, load_namespace, modeltime_fit_workflowset, smooth_level, smooth_seasonal, smooth_trend, theta_fit_impl, theta_predict_impl, val_class_and_single
R
R 4.1.0 released · 2021-05-18
0.5.1
record
2021-04-03 · diff ↗ ·
added 2 exports
.prepare_panel_transform, .prepare_transform
0.5.0
record
2021-03-29 · diff ↗ ·
removed 1 export
metric_tweak

added 1 export
panel_tail
0.4.2
record
2021-03-19 · diff ↗ ·
added 11 exports
is_residuals, metric_tweak, modeltime_residuals_test, naive_fit_impl, naive_predict_impl, naive_reg, snaive_fit_impl, snaive_predict_impl, window_function_fit_impl, window_function_predict_impl, window_reg
0.4.1
record
2021-01-17 · diff ↗
0.4.0
record
2020-11-23 · diff ↗ ·
added 3 exports
recursive, update_modeltime_description, update_modeltime_model
0.3.1
record
2020-11-09 · diff ↗ ·
added 1 export
as_modeltime_table
0.3.0
record
2020-10-28 · diff ↗ ·
added 1 export
summarize_accuracy_metrics
0.2.1
record
2020-10-08 · diff ↗
0.2.0
record
2020-09-28 · diff ↗ ·
added 4 exports
add_modeltime_model, pluck_modeltime_model, pull_modeltime_model, pull_parsnip_preprocessor
0.1.0
record
2020-09-02 · diff ↗ ·
removed 2 exports
num_changepoints, seasonal_decomp

added 21 exports
changepoint_num, changepoint_range, combine_modeltime_tables, get_tbats_description, is_calibrated, is_modeltime_model, is_modeltime_table, modeltime_residuals, nnetar_fit_impl, nnetar_predict_impl, nnetar_reg, num_networks, plot_modeltime_residuals, pull_modeltime_residuals, seasonal_reg, seasonality_daily, seasonality_weekly, seasonality_yearly, tbats_fit_impl, tbats_predict_impl, update_model_description
0.0.2
record
2020-07-03 · diff ↗ ·
added 2 exports
xgboost_impl, xgboost_predict
0.0.1
record
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

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 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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for modeltime version 1.3.5 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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