R-DAT

R-DAT is a Bayesian data analysis package designed specifically for risk analysts and reliability engineers who frequently need to develop plant- or system-specific distributions. A more complete set of analysis capabilities, which includes two-stage Bayesian updating, is offered by R-DAT Plus.

R-DAT provides you with a powerful, yet simple and flexible environment for storing and organizing many types of reliability data and related information. A hierarchical structure enables the user to develop functional or structural or any other type of breakdown, at any level of detail. The elements of this hierarchy act as folders containing the reliability data and the results of Bayesian analyses performed on the data sets.

In a few simple steps, R-DAT enables you to update your prior distributions (generic, or previous plant-specific update) with new plant-specific data using likelihood functions that match the type of data (for example, Binomial likelihood for failure on demand, Poisson likelihood for failure during operation or initiating event frequency). Prior and Posterior results are displays graphically in p.d.f. or c.d.f. formats together with numerical values of various percentiles and other properties of the distributions.

With R-DAT you can specify the prior distribution in many different ways depending on the type and level of information available to you. These include a wide variety of parametric distributions (e.g., lognormal, beta and loguniform) using any of a number of input options such as lower and upper bounds, mean and variance, or the distribution parameters.

Results can easily be copied to other software environments, such as Microsoft Word and Microsoft Excel. Furthermore, R-DAT includes a reporting mechanism, that allows event distribution reports to be generated automatically.

For more detailed information about R-DAT and our other software products, please visit our feature overview.

Interested? Download an evaluation copy here.