R Observatory: Metrics for EpiLPS version 1.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

EpiLPS

1.3.0

A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters

1packages depend

3.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Oswaldo GressaniFirst published 2021-12-218 releasesCRAN page ↗GitHub ↗

Estimation of epidemiological parameters with Laplacian-P-splines following the methodology of Gressani et al. (2022) doi:10.1371/journal.pcbi.1010618.

Install

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

install.packages("EpiLPS", 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("oswaldogressani/EpiLPS")

Development version from oswaldogressani/EpiLPS. 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-epilps

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-EpiLPS

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-EpiLPS

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

Health

CRAN checks

13OK

Slowest check: 7.2 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

5

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
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 426 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 93%
Return-value docs: 100%
References docs: 58%

Downloads

3.9K

CRAN downloads in the past year

Rank #10,518 · ~11/day · ~329/mo

Releases R versions

Daily download trend is not available in this view yet.

21330 days

93190 days

3.9K1 year

Compare downloads with other packages →

Also on384 r2u2 autocran

Repository

GitHub ↗ oswaldogressani/epilps

21Stars

1Forks

1Open issues

0Open PRs

8Releases

51Commits

1Contributors

License GPL-3.0 · 51 commits · Last activity 2025-09-01 · 0% stars, 30d

Stars over time

2024-09-24 · 192026-07-07 · 21

Repository practices

Upstream repositoryBeta

Checks run against github.com/oswaldogressani/epilps on 2026-08-23.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (5)

Rcpp coda EpiEstim ggplot2 gridExtra

LinkingTo (2)

RcppArmadillo Rcpp

Suggests (2)

rmarkdown knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

mitey

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Oswaldo Gressani

Author, Maintainer

Authors (1)

Oswaldo Gressani

Author, Maintainer

Contributors (1)

Bryan Sumalinab

Contributor · added in 1.3.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.3.0Latest
2024-03-08 · current release · diff ↗
1.2.0
2023-08-30 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.0
2023-04-05 · diff ↗
1.0.7
2023-01-18 · diff ↗
1.0.6
2022-08-08 · diff ↗
1.0.5
2022-05-06 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.2
2022-01-03 · diff ↗
1.0.1
2021-12-21
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-21
Total releases: 8 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 5.6 KB / 6 files
Download size: 643 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EpiLPS")

Format

Gressani, O., & Sumalinab, B. (2024). EpiLPS: A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.EpiLPS

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 EpiLPS version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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