Risk-related information can be expressed in terms of probabilities or frequencies. By providing a toolbox of methods and metrics, we compute, translate, and represent risk-related information in a variety of ways. By offering different, but complementary perspectives on the interplay between key parameters, 'riskyr' renders teaching and training of risk literacy more transparent.
Version: | 0.1.0 |
Depends: | R (≥ 3.2) |
Imports: | diagram (≥ 1.6.4), grid (≥ 3.4.3), vcd (≥ 1.4), utils (≥ 3.4.3) |
Suggests: | devtools, rmarkdown, knitr, roxygen2 |
Published: | 2018-02-19 |
Author: | Hansjoerg Neth [aut, cre], Felix Gaisbauer [aut], Nico Gradwohl [aut], Wolfgang Gaissmaier [aut] |
Maintainer: | Hansjoerg Neth <h.neth at uni.kn> |
BugReports: | https://github.com/hneth/riskyr/issues |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | no |
Citation: | riskyr citation info |
Materials: | README |
CRAN checks: | riskyr results |
Reference manual: | riskyr.pdf |
Vignettes: |
A User Guide Data Formats Confusion Matrix and Metrics Functional Perspectives Quick Start Primer |
Package source: | riskyr_0.1.0.tar.gz |
Windows binaries: | r-devel: riskyr_0.1.0.zip, r-release: riskyr_0.1.0.zip, r-oldrel: riskyr_0.1.0.zip |
OS X binaries: | r-release: riskyr_0.1.0.tgz, r-oldrel: riskyr_0.1.0.tgz |
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