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hubEnsembles

1.0.0Package record

Ensemble Methods for Combining Hub Model Outputs

1packages depend
6.1Kdownloads / year
96.9%test coverage
13/13flavors OK

Overview

About

Functions for combining model outputs (e.g. predictions or estimates) from multiple models into an aggregated ensemble model output.

Changes in 1.0.0
  • hubEnsembles.Rmd article now explains how to ensemble samples using linear_pool()
  • linear_pool() supports requesting a subset of component model sample forecasts when ensembling samples (#144)
  • linear_pool() supports the specification of the compound task ID set, so that trajectory samples can be correctly ensembled (#144)
  • linear_pool() supports the simplest case of ensembling samples, where all component samples are collected and returned (#109)
  • linear_pool() now uses the argument derived_task_ids (derived_tasks is now deprecated) (#156)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 177 wordsVignettesNoNEWSYes · 100% structured · mentions 1.0.0Citation fileNoWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages
8
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

6.1K
CRAN downloads in the past year
Rank #8,074 · ~17/day · ~504/mo
Daily download trend is not available in this view yet.
52030 days
1.1K90 days
6.1K1 year
Compare downloads with other packages →
Also on69 r2u3 autocran

Repository

8Stars
1Forks
9Open issues
1Open PRs
5Releases
500Commits
12Commit identities
hubverser-package
500 commits · Last activity 2026-10-14 · 0% stars, 30d · Default branch at 1.0.0.9000, ahead of CRAN 1.0.0 (checked 2026-10-11) · Discussions: 1 post
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
58
Median days to close, 50 most recently updated closed PRs
6

Stars over time

2024-09-04 · 62026-07-07 · 8
PracticesBeta

18 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/hubverse-org/hubensembles on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)
Code of conductContributing guideCODEOWNERS
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-08-26 · The repository has a site deploy workflow

pkgdown site last built 2025-05-28

Coverage (1)
Coverage reporting
Show all practicesHide 4 practices
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Automation and maintenance (1)
Dependabot
Lint, format, editor (5)
lintrLint workflowAirVS CodeRStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-05-07
    Commits: at least 5 crediting it in the message
Models named in its commits
  • Claude Sonnet 4.65 commits · May 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing hubEnsembles adds 39 packages (23 with compiled code, 23 MB of source tarballs). Heaviest: stringi 11 MB, fs 1.4 MB, openssl 1.1 MB.

Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (7)
Author, Maintainer since 0.1.8 (2024)
Contributor
Contributor
Contributor
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    record
    2025-05-23 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.9
    record
    2024-10-02 · diff ↗
  • 0.1.8
    record
    2024-09-26
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-09-26
Total releases
3 / 2 yrs
License
MIT + file LICENSE OSI
Additional repositories
hubverse-org.r-universe.dev
Minimum R
≥ 4.1
Bundled data
2.3 KB / 4 files
Download size
72 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hubEnsembles")
Shandross, L., Consortium of Infectious Disease Modeling Hubs, Howerton, E., Kamvar, Z. N., Krystalli, A., Ray, E. L., & Reich, N. G. (2025). hubEnsembles: Ensemble Methods for Combining Hub Model Outputs (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.hubEnsembles

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hubEnsembles version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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