Evaluator is an open source quantitative risk analysis toolkit. Based on the OpenFAIR taxonomy and risk assessment standard, Evaluator empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.
Three sample outputs of this toolkit are available:
Install Evaluator via the standard CRAN mechanisms. To run the default, but optional, report functions, use the
dependencies = TRUE flag to pull in the additional packages needed for reporting.
install.packages("evaluator", dependencies = TRUE)
If you wish to run the development (and potentially bleeding edge) version of Evaluator, you can install directly from Github via the following
# install.pacakges("devtools") devtools::install_github("davidski/evaluator", dependencies = TRUE)
Optionally, a prototype Docker image with all dependencies pre-installed is available on the Docker Hub.
The primary workflow for Evaluator involves gathering data in Excel then running the analysis from within the R and Evaluator environment:
A detailed guide is available in the vignette accessed via
vignette("usage", package="evaluator"). A short screencast showing the basic workflow (not including generation of reports) is available below:
While Evaluator is a powerful tool, it does not attempt to address interactions between risk scenarios, rolling up multiple levels of risk into aggregations, or other advanced topics. As you become more comfortable with quantitative risk analysis, you may wish to dive deeper into these areas (and I hope you do!). The following resources may help you explore these and other topics in risk management.
This project is governed by a Code of Conduct. By participating in this project you agree to abide by these terms.
The MIT License applies.