R Observatory: Metrics for ForecastingEnsembles version 0.5.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ForecastingEnsembles

0.5.1

Time Series Forecasting Using 23 Individual Models

0packages depend

2.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Russ ConteFirst published 2025-04-012 releasesCRAN page ↗GitHub ↗

Runs multiple individual time series models, and combines them into an ensembles of time series models. This is mainly used to predict the results of the monthly labor market report from the United States Bureau of Labor Statistics for virtually any part of the economy reported by the Bureau of Labor Statistics, but it can be easily modified to work with other types of time series data. For example, the package was used to predict the winning men's and women's time for the 2024 London Marathon.

Install

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

install.packages("ForecastingEnsembles", 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("InfiniteCuriosity/ForecastingEnsembles")

Development version from InfiniteCuriosity/ForecastingEnsembles. 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-forecastingensembles

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-ForecastingEnsembles

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-ForecastingEnsembles

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

Health

CRAN checks

13OK

Slowest check: 2.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

21

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 401 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: not tracked
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.9K

CRAN downloads in the past year

Rank #13,977 · ~8/day · ~242/mo

Releases R versions

Daily download trend is not available in this view yet.

14630 days

73390 days

2.9K1 year

Compare downloads with other packages →

Also on128 r2u

Repository

GitHub ↗ infinitecuriosity/forecastingensembles

0Stars

0Forks

7Open issues

0Open PRs

0Releases

Last activity 2025-10-12

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/infinitecuriosity/forecastingensembles on 2026-08-16.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Depends (22)

R >= 2.10distributional doParallel dplyr fable fabletools fable.prophet feasts fracdiff ggplot2 gt lubridate magrittrparallelreadr scalesstatstibble tidyr tsibble urcautils

Imports (0)

none

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Russ Conte

Author, Maintainer, Copyright holder

Authors (1)

Russ Conte

Author, Maintainer, Copyright holder

Copyright holders (1)

Russ Conte

Author, Maintainer, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.5.1Latest
2025-10-13 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.5.0
2025-04-01
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-04-01
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 4.2 KB / 3 files
Download size: 4.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ForecastingEnsembles")

Format

Conte, R. (2025). ForecastingEnsembles: Time Series Forecasting Using 23 Individual Models (Version 0.5.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ForecastingEnsembles

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 ForecastingEnsembles version 0.5.1 [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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