The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Given the non-negative data and its distribution, the package estimates the rank parameter for Non-negative Matrix Factorization. The method is based on hypothesis testing, using a deconvolved bootstrap distribution to assess the significance level accurately despite the large amount of optimization error. The distribution of the non-negative data can be either Normal distributed or Poisson distributed.
| Version: | 0.1.0 |
| Imports: | NMF, pmledecon (≥ 0.2.0) |
| Published: | 2022-06-03 |
| DOI: | 10.32614/CRAN.package.DBNMFrank |
| Author: | Yun Cai [aut, cre], Hong Gu [aut], Tobias Kenney [aut] |
| Maintainer: | Yun Cai <Yun.Cai at dal.ca> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | DBNMFrank results |
| Reference manual: | DBNMFrank.pdf |
| Package source: | DBNMFrank_0.1.0.tar.gz |
| Windows binaries: | r-devel: DBNMFrank_0.1.0.zip, r-release: DBNMFrank_0.1.0.zip, r-oldrel: DBNMFrank_0.1.0.zip |
| macOS binaries: | r-release (arm64): DBNMFrank_0.1.0.tgz, r-oldrel (arm64): DBNMFrank_0.1.0.tgz, r-release (x86_64): DBNMFrank_0.1.0.tgz, r-oldrel (x86_64): DBNMFrank_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=DBNMFrank 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.