A Shiny App for Reliability Analysis • ReliaShiny

Introduction

Welcome to ReliaShiny! ReliaShiny is an interactive web application for reliability analysis. The app is built using the shiny package in R. ReliaShiny provides an easy-to-use interface for performing reliability analysis using the WeibullR, WeibullR.ALT, and ReliaGrowR packages in R.

Getting Started

To install ReliaShiny in R:

install.packages("ReliaShiny")

To install the development version:

devtools::install_github("paulgovan/ReliaShiny")

To launch the app:

ReliaShiny::ReliaShiny()

Or to access the app through a browser, visit govan.shinyapps.io/reliashiny/.

Features

Life Data Analysis

Fit Weibull and Lognormal distributions to time-to-failure data using Maximum Likelihood Estimation or Rank Regression. Generate probability plots and contour plots to assess fit and parameter uncertainty.

Reliability Growth Analysis

Model reliability growth using Crow-AMSAA, Piecewise NHPP, or automatic change-point detection. Visualize results with Reliability Growth and Duane plots.

Repairable Systems

Analyze repairable systems with Power Law, Log-Linear, or Piecewise NHPP models. Visualize cumulative events, event rates, and the Mean Cumulative Function (MCF).

Accelerated Life Testing

Fit Weibull or Lognormal distributions under accelerated stress conditions using Arrhenius or Power Law life-stress relationships. Visualize ALT probability plots and life-stress relationships.

Citation

If you use ReliaShiny in your research, please cite the following:

Govan, P. (2026). ReliaShiny: A Shiny Application for Reliability Analysis. IEEE Reliability Magazine, 1–9. https://doi.org/10.1109/MRL.2026.3669057

Govan, P. (2023). ReliaShiny: A Shiny App Reliability Analysis. R package version 0.2.0. https://doi.org/10.32614/CRAN.package.ReliaShiny

Code of Conduct

Please note that the ReliaShiny project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.