evaluator

Overview

evaluator is an open source quantitative risk analysis toolkit. Based on
the OpenFAIR ontology and
risk analysis standard,
evaluator empowers an organization to perform a quantifiable,
repeatable, and data-driven risk review.

Three sample outputs of this toolkit are available:

1. A sample risk
   analysis
   report
2. A one page risk
   dashboard
3. A demonstration copy of Scenario
   Explorer

Installation

Install evaluator via the standard CRAN mechanisms. If you wish to use
the optional, but recommended, reporting functions, also install the
suggested dependencies. These additional packages are not needed for
modeling, but are used in the generation of reports.

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 with the
following devtools command.

# install.pacakges("devtools")
devtools::install_github("davidski/evaluator", dependencies = TRUE)

Optionally, Docker images with all dependencies pre-installed are
available on the Docker Hub.

Usage

The primary workflow for evaluator involves gathering data in Excel then
running the analysis from within the R and Evaluator environment:

From Excel:

1. Populate the evaluator-supplied data acquisition spreadsheet

From Evaluator:

1. Import the data
2. Prepare the data for simulation
3. Run the simulations
4. Summarize the results
5. Generate draft reports for customization

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:

Where to Go from Here

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.

Alternative Software

• RiskLens, a commercial analysis suite,
  founded by the original creator of the FAIR methodology
• FAIR Tool, a Shiny and R based
  two scenario simulator, authored by Ezeugo Aguta under an MIT
  license
• FAIR-U, a free educational
  tool for learning FAIR analysis, powered by RiskLens
• Open FAIR Risk Analysis
  Tool, an Excel and SIPMath
  base tool with a limited open license

Blogs/Books/Training

• Russell C. Thomas’s excellent and provocative blog post on systemic
  Risk
  Management
• Measuring and Managing Information
  Risk
• OpenFAIR
  certification
• Hubbard Decision Research calibration
  training

Associations

• FAIR Institute
• Society of Information Risk Analysts
  (SIRA)

Contributing

This project is governed by a Code of
Conduct. By
participating in this project you agree to abide by these terms.

License

The MIT License applies.