R Observatory: Metrics for BayesianFitForecast version 1.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesianFitForecast

1.1.1

Bayesian Parameter Estimation and Forecasting for Epidemiological Models

0packages depend

3Kdownloads / year

88.0%test coverage

13/13checks pass

Overview

About

Maintained by Gerardo ChowellFirst published 2024-12-053 releasesCRAN page ↗GitHub ↗

Methods for Bayesian parameter estimation and forecasting in epidemiological models. Functions enable model fitting using Bayesian methods and generate forecasts with uncertainty quantification. Implements approaches described in doi:10.48550/arXiv.2411.05371 and doi:10.1002/sim.9164.

Install

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

install.packages("BayesianFitForecast", 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("gchowell/BayesianFitForecast")

Development version from gchowell/BayesianFitForecast. 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-bayesianfitforecast

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-BayesianFitForecast

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-BayesianFitForecast

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

Health

CRAN checks

13OK

Slowest check: 9.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.30

88.0%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-04-06
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-04
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · staticpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

3K

CRAN downloads in the past year

Rank #10,485 · ~8/day · ~252/mo

Releases R versions

Daily download trend is not available in this view yet.

34130 days

92490 days

3K1 year

Compare downloads with other packages →

Also on215 r2u31 autocran

Repository

GitHub ↗ gchowell/bayesianfitforecast

10Stars

4Forks

2Open issues

0Open PRs

0Releases

46Commits

1Contributors

License CC0-1.0 · 46 commits · Last activity 2026-07-10 · 0% stars, 30d

Stars over time

2025-07-14 · 72026-07-07 · 10

Repository practices

Upstream repositoryBeta

Checks run against github.com/gchowell/bayesianfitforecast on 2026-08-16.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (7)

bayesplot readxl loo openxlsx rstan ggplot2 dplyr

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Gerardo Chowell

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

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

1.1.1Latest
2026-08-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.1.0
2025-08-19 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.0
2024-12-05
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-12-05
Total releases: 3 / 2 yrs
License: CC0
Minimum R: ≥ 3.5.0
Download size: 2.9 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Epidemiology

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesianFitForecast")

Format

Chowell, G., Bleichrodt, A., Karami, H., & Luo, R. (2026). BayesianFitForecast: Bayesian Parameter Estimation and Forecasting for Epidemiological Models (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesianFitForecast

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 BayesianFitForecast version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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