-
Notifications
You must be signed in to change notification settings - Fork 39
/
Copy pathREADME.Rmd
125 lines (91 loc) · 4.88 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
---
output:
github_document: default
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# evaluator <a href="https://evaluator.tidyrisk.org"><img alt="evaluator Logo" title="evaluator" align="right" src="man/figures/logo.png" height="139"/></a>
<!-- badges: start -->
[![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)
<!-- badges: end -->
## 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.