This is a small R package for doing Weibull-based reliability analysis.

This R package is now obsolete and has been superseded by 'project Abernethy' on http://r-forge.r-project.org/projects/abernethy/.

Features

  • Two-parameter Weibull cumulative distribution function (CDF) parameter calculation from (life-)time observations.
  • Slope and Shape parameter calculation using Median Rank Regression or Maximum Likelihood Estimation.
  • Complete (uncensored) and right-censored data are supported.
  • Provides plots for visually comparing different datasets.
  • Beta-binomial confidence bounds for B-lives, complete and right censored data supported.
  • Monte-Carlo based pivotal confidence bounds for B-lives: complete datasets supported, for censored datasets the bounds are currently slightly too optimistic.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow Weibull-based reliability toolkit for R

Weibull-based reliability toolkit for R Web Site

Other Useful Business Software
Enterprise-grade ITSM, for every business Icon
Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Weibull-based reliability toolkit for R!

Additional Project Details

Intended Audience

End Users/Desktop, Engineering, Manufacturing, Quality Engineers, Science/Research

User Interface

Console/Terminal

Programming Language

S/R

Related Categories

S/R Scientific Engineering, S/R Statistics Software

Registered

2009-08-25