R Observatory: Metrics for EBMAforecast version 1.0.33

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

EBMAforecast

1.0.33Package record

Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms

0packages depend

4.8Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Florian M. HollenbachCRAN page ↗GitHub ↗

Create forecasts from multiple predictions using ensemble Bayesian model averaging (EBMA). EBMA models can be estimated using an expectation maximization (EM) algorithm or as fully Bayesian models via Gibbs sampling. The methods in this package are Montgomery, Hollenbach, and Ward (2015) doi:10.1016/j.ijforecast.2014.08.001 and Montgomery, Hollenbach, and Ward (2012) doi:10.1093/pan/mps002.

Install

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

install.packages("EBMAforecast", 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("fhollenbach/EBMA")

Development version from fhollenbach/EBMA. 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-ebmaforecast

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-EBMAforecast

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-EBMAforecast

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: 3.3 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK8 OK2026-05-05

Show 1 earlier changeHide 1 earlier change

WARNING9 OK, 5 WARNING2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.33

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11 (1 internal)includes a package overview page
Examples that run: 0%8 never run
Exported functions with examples: 75%
Documented parameters: 88%
Return-value docs: 100%
Help pages citing references: 73%

Also includes 2 demo scripts (run with demo())

How these are measured

Downloads

4.8K

CRAN downloads in the past year

Rank #8,268 · ~13/day · ~397/mo

Releases R versions

Daily download trend is not available in this view yet.

39830 days

1.1K90 days

4.8K1 year

Compare downloads with other packages →

Also on369 r2u3 autocran93 c2d4u

How downloads are counted

Repository

fhollenbach/ebma ↗Account: fhollenbach

2Stars

1Forks

4Open issues

0Open PRs

0Releases

46Commits

6Commit identities

46 commits · Last activity 2026-05-04 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 5
Median days to close, 50 most recently updated closed PRs: 6

Stars over time

2023-04-09 · 22026-07-07 · 2

How these are measured

PracticesBeta

Checks run against github.com/fhollenbach/ebma on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing EBMAforecast adds 56 packages (29 with compiled code, 54 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (9)

Rcpp plyrgraphicsseparationplot Hmisc abind gtoolsmethodsglue

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Florian M. Hollenbach

Author, Maintainer since 0.52 (2016) · added in 0.52

Jacob M. Montgomery

Author

Michael D. Ward

Author

Previously maintained by Jacob Montgomery (0.3 to 0.42).

Listed in earlier versions (1)

Florian Hollenbach

no longer listed · 0.4 to 2.15.3

Releases (14)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-05-04
R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2026-04-02
issues were not corrected in time
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
unarchivedReturned to CRAN
2020-05-20
R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2020-02-19
check problems were not corrected despite reminders
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16

Show 17 earlier eventsHide 17 earlier events

R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
2.15.3Latest
record
2013-02-25 · current release · diff ↗
2.15.2
record
2012-08-22 · diff ↗
2.15.1
record
2012-05-06 · diff ↗
1.0.33
record
2026-05-04 · diff ↗
1.0.32
record
2024-03-20 · diff ↗
1.0.31
record
2023-11-10 · diff ↗
1.0.3
record
2022-10-13 · diff ↗
1.0.2
record
2020-10-28 · diff ↗
1.0.0
record
2020-05-20 · diff ↗ ·
removed 4 exports
setModelNames<-, setOutcomeCalibration<-, setOutcomeTest<-, setPredTest<-
0.52
record
2016-02-10 · diff ↗ ·
added 8 exports
setModelNames<-, setOutcomeCalibration<-, setOutcomeTest<-, setPredTest<-, EBMApredict, calibrateEnsemble, compareModels, makeForecastData
0.42
record
2013-02-25 · diff ↗
0.41
record
2012-08-23 · diff ↗
0.4
record
2012-08-21 · diff ↗
0.3
record
2012-06-14
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-05-06
Total releases: 14 / 14 yrs
License: GPL (>= 2) OSI
Bundled data: 13 KB / 3 files
Download size: 97 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EBMAforecast")

Format

Hollenbach, F. M., Montgomery, J. M., & Ward, M. D. (2026). EBMAforecast: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms (Version 1.0.33) [Computer software]. https://doi.org/10.32614/CRAN.package.EBMAforecast

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 EBMAforecast version 1.0.33 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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