R-DAT is a Bayesian data analysis package designed specifically for risk analysts and reliability engineers. It helps you develop and update system-specific reliability parameter estimates. R-DAT's powerful, flexible and user-friendly environment lets you store and organise many types of reliability data and related information.
- Build generic and system-specific failure rate distributions using powerful Bayesian algorithms
- Develop functional, structural or any other type of system decomposition, at any level of detail
- View results in easy-to-understand graphical and tabular displays
Build generic prior distributions based on different types and sources like operating data or expert opinion. In a few simple steps, you can update your prior distributions with new system-specific data using likelihood functions that match the data type.
Display prior and posterior distribution results graphically as PDFs or CDFs. Include a wide variety of parametric distributions using one of R-DAT's many input options. Generate event distribution reports automatically and share results using Word and Excel.
Fully-featured yet intuitive and adaptable, R-DAT is the complete Bayesian data analysis package.
R-DAT is Reliability and Risk Data Collection software developed by Prediction Technologies, Inc., USA for whom LR acts as a reseller.
Blue-chip fault tree and linked event tree modelling and analysis.
Accelerate the generation and updating of risk models.
Standardise quantification and review of human error probabilities.
A tool for managing operational safety and to achieve greater flexibility in operations.
Bayesian data analysis package to develop and update system-specific reliability parameter estimates.