R Observatory: Metrics for modeltime.ensemble version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

modeltime.ensemble

1.1.0Package record

Ensemble Algorithms for Time Series Forecasting with Modeltime

1packages depend

11.8Kdownloads / year

90.8%test coverage

13/13flavors OK

Overview

About

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

A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.

Install

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

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

Development version from business-science/modeltime.ensemble. 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.ensemble

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.ensemble

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.ensemble

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: 7.3 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 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-04
WARNING13 OK, 1 WARNING2026-04-03
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 452 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structured · does not mention 1.1.0Citation fileNoWebsiteYes · pkgdown

Help pages: 7 (2 internal)
Examples that run: 0%3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 43%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (3)

How these are measured

Downloads

11.8K

CRAN downloads in the past year

Rank #4,883 · ~32/day · ~980/mo

Releases R versions

Daily download trend is not available in this view yet.

62230 days

1.7K90 days

11.8K1 year

Compare downloads with other packages →

Also on249 r2u5 autocran920 conda_forge89 c2d4u

How downloads are counted

Repository

business-science/modeltime.ensemble ↗Organization: business-science

81Stars

21Forks

11Open issues

0Open PRs

4Releases

218Commits

6Commit identities

modeltimetimetime-seriestimeseriesforecastingforecastensembleensemble-learning

218 commits · Last activity 2025-12-16 · +1.3% stars, 30d · Default branch at 1.1.0.9000, ahead of CRAN 1.1.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 10
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-09-10 · 802026-10-21 · 81

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.ensemble 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 2025-09-05 · The repository has a site deploy workflow

pkgdown site last built 2025-09-05

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

31 external dependencies (excludes base and recommended)

Installing modeltime.ensemble adds 184 packages (87 with compiled code, 156 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (3)

modeltime modeltime.resample R (>= 3.5)

Imports (20)

tune rsample yardstick workflows recipes timetk tibble dplyr (>= 1.0.0)tidyr purrr stringr rlang cli generics magrittr tictocparalleldoParallel foreach glmnet

LinkingTo (0)

none

Suggests (10)

gt dialsutilsearth testthat tidymodels xgboost lubridate knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

LLMAgentR

How these are counted

Code & Tests

People & History

People (2)

Matt Dancho

Author, Maintainer since 0.1.0 (2020)

Business Science

Copyright holder

Releases (13)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.1.0Latest
record
2025-09-04 · current release · diff ↗
1.0.5
record
2025-08-28 · diff ↗
R
R 4.5.0 released · 2025-04-11
unarchivedReturned to CRAN
2024-07-19
1.0.4
record
2024-07-19 · diff ↗
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-04-04
issues were not corrected in time
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2023-04-18
1.0.3
record
2023-04-18 · diff ↗
archivedRemoved from CRAN
2023-03-27
requires archived package 'timetk'
1.0.2
record
2022-10-19 · diff ↗
1.0.1
record
2022-06-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.0
record
2021-10-19 · diff ↗ ·
added 2 exports
ensemble_nested_average, ensemble_nested_weighted

Show 8 earlier eventsHide 8 earlier events

0.4.2
record
2021-07-16 · diff ↗
0.4.1
record
2021-05-31 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.4.0
record
2021-04-05 · diff ↗
0.3.0
record
2020-11-06 · diff ↗ ·
removed 2 exports
mdl_time_fit_resamples, modeltime_fit_resamples
0.2.0
record
2020-10-09 · diff ↗
0.1.0
record
2020-10-07
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-10-07
Total releases: 13 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Download size: 1.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modeltime.ensemble")

Format

Dancho, M., & Business Science. (2025). modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.modeltime.ensemble

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.ensemble version 1.1.0 [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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