The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides an easy to calculate local variable importance measure based on Ceteris Paribus profile and global variable importance measure based on Partial Dependence Profiles.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.0) |
| Imports: | ggplot2, DALEX |
| Suggests: | knitr, rmarkdown, mlbench, randomForest, gridExtra, grid, lattice, testthat, ingredients |
| Published: | 2020-09-07 |
| Author: | Anna Kozak [aut, cre], Przemyslaw Biecek [aut, ths] |
| Maintainer: | Anna Kozak <anna1993kozak at gmail.com> |
| BugReports: | https://github.com/ModelOriented/vivo/issues |
| License: | GPL-2 |
| URL: | https://github.com/ModelOriented/vivo |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | vivo results |
| Reference manual: | vivo.pdf |
| Vignettes: |
Example of global variable importance Example of local variable importance |
| Package source: | vivo_0.2.1.tar.gz |
| Windows binaries: | r-devel: vivo_0.2.1.zip, r-release: vivo_0.2.1.zip, r-oldrel: vivo_0.2.1.zip |
| macOS binaries: | r-release (arm64): vivo_0.2.1.tgz, r-oldrel (arm64): vivo_0.2.1.tgz, r-release (x86_64): vivo_0.2.1.tgz, r-oldrel (x86_64): vivo_0.2.1.tgz |
| Old sources: | vivo archive |
Please use the canonical form https://CRAN.R-project.org/package=vivo to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.