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.
Tools for optimal and approximate state estimation as well as network inference of Partially-Observed Boolean Dynamical Systems.
Version: | 1.0.0 |
Depends: | R (≥ 2.15.0), Rlab, BoolNet |
Published: | 2017-01-09 |
DOI: | 10.32614/CRAN.package.BoolFilter |
Author: | Levi McClenny, Mahdi Imani, Ulisses Braga-Neto |
Maintainer: | Levi McClenny <levimcclenny at tamu.edu> |
License: | Artistic-2.0 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | BoolFilter results |
Reference manual: | BoolFilter.pdf |
Vignettes: |
Partially Observed Boolean Dynamical Systems |
Package source: | BoolFilter_1.0.0.tar.gz |
Windows binaries: | r-devel: BoolFilter_1.0.0.zip, r-release: BoolFilter_1.0.0.zip, r-oldrel: BoolFilter_1.0.0.zip |
macOS binaries: | r-release (arm64): BoolFilter_1.0.0.tgz, r-oldrel (arm64): BoolFilter_1.0.0.tgz, r-release (x86_64): BoolFilter_1.0.0.tgz, r-oldrel (x86_64): BoolFilter_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=BoolFilter 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.