R Observatory: Metrics for sweep version 0.2.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sweep

0.2.7

Tidy Tools for Forecasting

2packages depend

46.6Kdownloads / year

83.4%test coverage

13/13checks pass

Overview

About

Maintained by Matt DanchoFirst published 2017-07-049 releasesCRAN page ↗GitHub ↗

Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.

Install

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

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

Development version from business-science/sweep. 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-sweep

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-sweep

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-sweep

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

Health

CRAN checks

13OK

Slowest check: 5.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.40

83.4%

Coverage · measured lines

83%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 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
OK2026-03-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-03-14
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 620 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 80%
References docs: 0%

Downloads

46.6K

CRAN downloads in the past year

Rank #3,240 · ~128/day · ~3.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

94430 days

3.6K90 days

46.6K1 year

Compare downloads with other packages →

Also on216 r2u14 autocran2.7K conda_forge109 c2d4u

Repository

GitHub ↗ business-science/sweep

154Stars

30Forks

6Open issues

0Open PRs

2Releases

121Commits

5Contributors

timeforecasttidyversetidyforecasting-modelstime-seriestimeseriesbroom

121 commits · Last activity 2026-03-17 · 0% stars, 30d

Stars over time

2024-08-30 · 1522026-07-07 · 154

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/business-science/sweep 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

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.3.0

Imports (6)

broom dplyr forecast rlang tibble timetk

LinkingTo (0)

none

Suggests (13)

fracdiff ggplot2 knitr lubridate purrr readr rmarkdown scales stringr testthat tidyr tidyquant zoo

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

anomalize FinanceGraphs

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Matt Dancho

Author, Maintainer

Authors (2)

Matt Dancho

Author, Maintainer

Davis Vaughan

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.2.7Latest
2026-03-17 · current release · diff ↗
0.2.6
2025-08-28 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.2.5
2023-07-06 · diff ↗
unarchivedReturned to CRAN
2023-07-06
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2023-03-23
issues were not corrected in time Despite multiple notifications and promises with deadlines
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.2.3
2020-07-10 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.2
2019-10-08 · diff ↗
unarchivedReturned to CRAN
2019-10-08
R
R 3.6.0 released · 2019-04-26

Show 7 earlier events

0.2.1.1
2018-08-19 · diff ↗
orphanedOrphaned by its maintainer
2018-08-19
check problems were not corrected despite reminders
R
R 3.5.0 released · 2018-04-23
0.2.1
2018-03-04 · diff ↗
0.2.0
2017-07-26 · diff ↗
0.1.0
2017-07-04
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-04
Total releases: 9 / 9 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.3.0
Bundled data: 104 KB / 1 file
Download size: 2.6 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("sweep")

Format

Dancho, M., & Vaughan, D. (2026). sweep: Tidy Tools for Forecasting (Version 0.2.7) [Computer software]. https://doi.org/10.32614/CRAN.package.sweep

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 sweep version 0.2.7 [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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