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https://github.com/davidski/evaluator

⚖Open Source Toolkit for Quantitative Risk Assessment
https://github.com/davidski/evaluator

openfair r risk risk-assessment risk-management tidyrisk

Last synced: 14 days ago
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⚖Open Source Toolkit for Quantitative Risk Assessment

Host: GitHub
URL: https://github.com/davidski/evaluator
Owner: davidski
License: other
Created: 2016-04-28T01:36:16.000Z (over 8 years ago)
Default Branch: main
Last Pushed: 2022-12-21T05:01:16.000Z (almost 2 years ago)
Last Synced: 2024-10-19T18:42:45.965Z (22 days ago)
Topics: openfair, r, risk, risk-assessment, risk-management, tidyrisk
Language: R
Homepage: https://evaluator.tidyrisk.org
Size: 76.4 MB
Stars: 161
Watchers: 24
Forks: 38
Open Issues: 6
Metadata Files:
- Readme: README.Rmd
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

jimsghstars - davidski/evaluator - ⚖Open Source Toolkit for Quantitative Risk Assessment (R)

README

        ---

output:

  github_document: default

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# evaluator 

 

[![R build status](https://github.com/davidski/evaluator/workflows/R-CMD-check/badge.svg)](https://github.com/davidski/evaluator/actions)

[![Coverage Status](https://codecov.io/gh/davidski/evaluator/branch/master/graph/badge.svg)](https://codecov.io/github/davidski/evaluator?branch=master)

[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/evaluator)](https://cran.r-project.org/package=evaluator)

![downloads](https://cranlogs.r-pkg.org/badges/grand-total/evaluator)

 

## Overview

evaluator is an open source quantitative risk analysis toolkit. Based on the OpenFAIR 

[ontology](https://publications.opengroup.org/c20b) and 

risk analysis [standard](https://publications.opengroup.org/c20a), 

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](https://evaluator.tidyrisk.org/reports/evaluator_risk_analysis.html) report

2) A one page [risk dashboard](https://evaluator.tidyrisk.org/reports/evaluator_risk_dashboard.html)

3) A demonstration copy of [Scenario Explorer](https://davidski.shinyapps.io/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.

```{r install_cran, eval=FALSE}

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.

```{r github_install, eval=FALSE}

# install.pacakges("devtools")

devtools::install_github("davidski/evaluator", dependencies = TRUE)

```

Optionally, Docker images with all dependencies pre-installed are

available on the [Docker Hub](https://hub.docker.com/r/tidyrisk).

## 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:

2. Import the data

3. Prepare the data for simulation

4. Run the simulations

5. Summarize the results

6. 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:

[![demo](https://asciinema.org/a/qIBU3lhPkWHGMYD9O2GU1YgcU.png)](https://asciinema.org/a/qIBU3lhPkWHGMYD9O2GU1YgcU?s=2&autoplay=1)

## 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](https://www.risklens.com), a commercial analysis suite, founded 

by the original creator of the FAIR methodology

- [FAIR Tool](https://github.com/zugo01/FAIRTool), a Shiny and R based two 

scenario simulator, authored by Ezeugo Aguta under an MIT license

- [FAIR-U](https://www.fairinstitute.org/fair-u), a free educational tool for 

learning FAIR analysis, powered by RiskLens

- [Open FAIR Risk Analysis Tool](https://publications.opengroup.org/i181), 

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](https://exploringpossibilityspace.blogspot.com/2013/08/risk-management-out-with-old-in-with-new.html)

- [Measuring and Managing Information Risk](https://smile.amazon.com/gp/product/0124202314)

- [OpenFAIR certification](https://www.opengroup.org/certifications/openfair)

- [Hubbard Decision Research calibration training](https://hubbardresearch.com/training/)

### Associations

- [FAIR Institute](https://www.fairinstitute.org)

- [Society of Information Risk Analysts (SIRA)](https://www.societyinforisk.org/)

## Contributing

This project is governed by a 

[Code of Conduct](https://evaluator.tidyrisk.org/CODE_OF_CONDUCT.html). By 

participating in this project you agree to abide by these terms.

## License

The [MIT License](LICENSE) applies.