R Observatory: Metrics for ReliaLearnR version 0.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ReliaLearnR

0.5Package record

Learning Modules for Reliability Analysis

0packages depend

4Kdownloads / year

88.9%test coverage

13/13flavors OK

Overview

About

Maintained by Paul GovanCRAN page ↗GitHub ↗Website ↗Issues ↗

Learning modules for reliability analysis including modules for Reliability, Availability, and Maintainability (RAM) Analysis, Life Data Analysis, Reliability Testing, Repairable Systems Analysis, and Reliability Block Diagrams.

Changes in 0.5

New Features

New rbd() tutorial covering Reliability Block Diagrams and system reliability, including series, parallel, mixed, and k-out-of-n configurations, system MTTF calculation, and an introduction to Fault Tree Analysis — with 4 code exercises and 12 quiz questions.
New rs() tutorial covering Repairable Systems Analysis, including Non-Homogeneous Poisson Process (NHPP) modeling, Mean Cumulative Function (MCF) estimation, and failure prediction.
Added a companion book to supplement the interactive tutorials.

Improvements

All tutorials deepened with more exercises and quiz questions:
**RAM**: Added an interactive failure rate (λ) slider, a Weibull bridge section, and 3 new exercises on series/parallel system reliability.

Show all changes in 0.5Hide the rest of the changes in 0.5

**LDA**: Added an Anderson-Darling goodness-of-fit section with 2 quiz questions and a model comparison exercise; 2 additional code exercises.
**RS**: Added 3 code exercises covering NHPP fitting, MCF plotting, and failure prediction.
**RT**: Added 3 code exercises covering Duane plotting, RGA, and the Arrhenius acceleration factor.
NHPP tutorial updated to a MCF-first workflow for a more intuitive learning progression.
Added DiagrammeR-based visual diagrams to the RBD tutorial.

From NEWS.md in the release

Install

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

install.packages("ReliaLearnR", 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("paulgovan/ReliaLearnR")

Development version from paulgovan/ReliaLearnR. 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-relialearnr

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-ReliaLearnR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.5

READMEYes · 668 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.5Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 11 (1 internal)includes a package overview page
Examples that run: 100%10 run in a plain check (5 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

helpers HTML

How these are measured

Downloads

4K

CRAN downloads in the past year

Rank #13,624 · ~11/day · ~331/mo

Releases R versions

Daily download trend is not available in this view yet.

25030 days

85990 days

4K1 year

Compare downloads with other packages →

Also on62 r2u

How downloads are counted

Repository

paulgovan/relialearnr ↗Account: paulgovan

0Stars

0Forks

1Open issues

0Open PRs

6Releases

214Commits

2Commit identities

life-data-analysisrtutorialweibull-analysisreliability

License file reads as Apache-2.0 · 214 commits · Last activity 2026-07-28

Responsiveness

How these are sampled

PRs merged (all time): 78%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 3

Releases over time

2025-07-16 · 32026-07-07 · 6

How these are measured

PracticesBeta

13 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/paulgovan/relialearnr on 2026-10-22.

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 guide

The repository owner accepts GitHub Sponsors

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-28 · The repository has a site deploy workflow

pkgdown site last built 2026-07-28

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

CRAN release process (1)

cran-comments.md

Research and citation (1)

codemeta.json

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-04-16
Seen in the repository: CLAUDE.md
Named in .Rbuildignore: .claude, CLAUDE.md
Commits: at least 2 crediting it in the message

Models named in its commits

Claude Sonnet 4.62 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

11 external dependencies (excludes base and recommended)

Installing ReliaLearnR adds 57 packages (29 with compiled code, 51 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)

R >= 4.1.0

Imports (4)

learnr ReliaGrowR WeibullR WeibullR.ALT

LinkingTo (0)

none

Suggests (7)

DiagrammeR knitr mockery ReliaPlotR ReliaShiny rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Paul Govan

Releases (2)

Pick two releases to compare their code metrics.

0.5Latest
record
2026-05-27 · current release · diff ↗ ·
added 2 exports
rbd, rs
R
R 4.6.0 released · 2026-04-24
0.3
record
2026-01-06
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-06
Total releases: 2 / 1 yrs
License: Apache License (>= 2) · relicensed from CC BY 4.0 in 0.5
Minimum R: ≥ 4.1.0
Download size: 3.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("ReliaLearnR")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.21105/jose.00302, 10.32614/cran.package.relialearnr.

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 ReliaLearnR version 0.5 [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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