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.
Aimed at applying the Harvest classification tree algorithm, modified algorithm of classic classification tree.The harvested tree has advantage of deleting redundant rules in trees, leading to a simplify and more efficient tree model.It was firstly used in drug discovery field, but it also performs well in other kinds of data, especially when the region of a class is disconnected. This package also improves the basic harvest classification tree algorithm by extending the field of data of algorithm to both continuous and categorical variables. To learn more about the harvest classification tree algorithm, you can go to http://www.stat.ubc.ca/Research/TechReports/techreports/220.pdf for more information.
| Version: | 1.1 |
| Depends: | R (≥ 3.0.1) |
| Imports: | rpart, stats |
| Published: | 2015-07-31 |
| Author: | Bingyuan Liu/Yan Yuan/Qian Shi |
| Maintainer: | Bingyuan Liu <adler1016 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Harvest.Tree results |
| Reference manual: | Harvest.Tree.pdf |
| Package source: | Harvest.Tree_1.1.tar.gz |
| Windows binaries: | r-devel: Harvest.Tree_1.1.zip, r-release: Harvest.Tree_1.1.zip, r-oldrel: Harvest.Tree_1.1.zip |
| macOS binaries: | r-release (arm64): Harvest.Tree_1.1.tgz, r-oldrel (arm64): Harvest.Tree_1.1.tgz, r-release (x86_64): Harvest.Tree_1.1.tgz, r-oldrel (x86_64): Harvest.Tree_1.1.tgz |
| Old sources: | Harvest.Tree archive |
Please use the canonical form https://CRAN.R-project.org/package=Harvest.Tree 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.