R Observatory: Metrics for bayesforecast version 1.0.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayesforecast

1.0.5Package record

Bayesian Time Series Modeling with Stan

0packages depend

7.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Asael Alonzo MatamorosCRAN page ↗

Fit Bayesian time series models using 'Stan' for full Bayesian inference. A wide range of distributions and models are supported, allowing users to fit Seasonal ARIMA, ARIMAX, Dynamic Harmonic Regression, GARCH, t-student innovation GARCH models, asymmetric GARCH, Random Walks, stochastic volatility models for univariate time series. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with typical visualization methods, information criteria such as loglik, AIC, BIC WAIC, Bayes factor and leave-one-out cross-validation methods. References: Hyndman (2017) doi:10.18637/jss.v027.i03; Carpenter et al. (2017) doi:10.18637/jss.v076.i01.

Changes in 1.0.5

Features:

no features

Improvements:

update rstan into 2.36 version

Changes:

No current changes

Fixes:

Update Stan code @andrjohns
Correct documentation
Fix link in Readme File

From NEWS.md in the release

Install

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

install.packages("bayesforecast", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-bayesforecast

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-bayesforecast

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-bayesforecast

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: 25.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-29

Show 7 earlier changesHide 7 earlier changes

ERROR12 OK, 1 ERROR2026-07-27
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.5

READMEYes · 605 wordsVignettesYes · 2 · dynamicNEWSYes · 33% structured · mentions 1.0.5Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 83 (1 internal)includes a package overview page
Examples that run: 39%18 run in a plain check · 27 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 70%
Documented parameters: 99%
Return-value docs: 98%
Help pages citing references: 35%

Vignettes (2)

How these are measured

Downloads

7.5K

CRAN downloads in the past year

Rank #5,310 · ~20/day · ~622/mo

Releases R versions

Daily download trend is not available in this view yet.

50330 days

1.5K90 days

7.5K1 year

Compare downloads with other packages →

Also on560 r2u31 autocran2.3K conda_forge81 c2d4u

How downloads are counted

Dependencies

Declared dependencies

23 external dependencies (excludes base and recommended)

Installing bayesforecast adds 100 packages (56 with compiled code, 93 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.0.0

Imports (15)

bayesplot bridgesampling forecast ggplot2 gridExtra loo lubridateMASSmethodsprophet Rcpp RcppParallel rstan (>= 2.32.0)rstantools zoo

LinkingTo (6)

BH Rcpp RcppEigen RcppParallel rstan StanHeaders (>= 2.18.0)

Suggests (4)

knitr rmarkdown ggfortify StanHeaders

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 (5)

Asael Alonzo Matamoros

Author, Maintainer since 0.0.1 (2021)

Cristian Cruz Torres

Author

Andres Dala

Contributor · added in 1.0.1

Rob Hyndman

Contributor

Mitchell O'Hara-Wild

Contributor

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.5Latest
record
2025-06-05 · current release · diff ↗
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
1.0.1
record
2021-06-17 · diff ↗ ·
added 7 exports
Holt, Hw, LocalLevel, mcmc_plot, stan_Holt, stan_Hw, stan_LocalLevel
R
R 4.1.0 released · 2021-05-18
0.0.1
record
2021-01-22
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-01-22
Total releases: 3 / 5 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.0.0
Bundled data: 8.1 KB / 6 files
Download size: 1.8 MB

Appears in task views

Bayesian Inference Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesforecast")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 bayesforecast version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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