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.
Generates and predicts a set of linearly stacked Random Forest models using bootstrap sampling. Individual datasets may be heterogeneous (not all samples have full sets of features). Contains support for parallelization but the user should register their cores before running. This is an extension of the method found in Matlock (2018) <doi:10.1186/s12859-018-2060-2>.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | randomForest, foreach, dplyr, parallel, doParallel |
| Published: | 2018-05-01 |
| Author: | Kevin Matlock, Raziur Rahman |
| Maintainer: | Kevin Matlock <kevin.matlock at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | Sstack results |
| Reference manual: | Sstack.pdf |
| Package source: | Sstack_1.0.1.tar.gz |
| Windows binaries: | r-devel: Sstack_1.0.1.zip, r-release: Sstack_1.0.1.zip, r-oldrel: Sstack_1.0.1.zip |
| macOS binaries: | r-release (arm64): Sstack_1.0.1.tgz, r-oldrel (arm64): Sstack_1.0.1.tgz, r-release (x86_64): Sstack_1.0.1.tgz, r-oldrel (x86_64): Sstack_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Sstack 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.