Overview
Quantify and Report (Technology) Risk: A streamlined tool designed to make it easier to quantify risk using expert estimation. Given expert estimates for loss frequency and magnitude, generate a report that forecasts losses by risk and in aggregate.
First presented as a demo in my 2024 SIRAcon talk, “UnFAIR: Simplifying and Expanding Technology Risk Quantification.”
The package provides R functions for risk modeling, a R Markdown template, and an easy to use standalone sample report that can be copied or modified for risk quantification analysis and communication.
Quick Start
Detailed instructions are available in the Introduction to quantrr vignette.
- Install the latest version of R for your platform.
- Download and install the Quarto CLI.
- Download and extract the “standalone” directory from this repository.
- Launch R and set the working directory to the “standalone” directory.
- Run
source("setup.R")to install the required R packages. - Run
source("preview.R")to build and display the example analysis.
Installation
You can install the development version of quantrr from GitHub with:
# install.packages("remotes")
remotes::install_github("jabenninghoff/quantrr")Or using renv:
# install.packages("renv")
renv::install("jabenninghoff/quantrr")Development
- Changelog: See “Changelog” or
NEWS.md. - Planned: TODO