Our Projects
Our projects are being implemented in R at this time. R is world’s most widely used system for statistical computation and graphics. It is often the first choice of data scientists and supported by a vibrant and talented community of open source contributors. R is taught in universities and deployed in mission critical business applications. We find R to be an excellent platform for prototyping applications of a statistical nature and quickly delivering them to a wide audience in an open source environment.
Fault Tree Analysis
Since inception in the early 1960’s fault trees have been used to map various cause and effect relationships across many fields of study. There have been many commercial implementations with some variation on the theme.
FaultTree
Here is a completely functional package for fault tree analysis on R.
EventTree
As this project was approached colleagues requested that event trees also be implemented.
Weibull Analysis
This project was started as an expository implementation of several functions supporting reliability analysis methods presented in “The New Weibull Handbook, Fifth Edition” by Dr. Robert B. Abernethy. After adopting the weibulltoolkit package much progress has been made toward a complete Weibull analysis application.
Source Packages
The packages forming the “Abernethy Reliability Methods”, abrem, are distributed as back-end calculation packages, which are called by an application layer. The calculation packages require compilation, which results in a binary file for Windows with a .zip extension. These are not to be confused with compressed file archives, rather they are intended to be opened by R during an installation process only.
Installation is discussed in the How-To. Source and binary repositories are available at R-Forge.
Developmental source repositories are on Github.
Shiny App
Carles C.G. has produced a Shiny application using the original abrem packages.
Using abrem
Here is a users guide for the abrem application layer.