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.
Biclustering is a statistical learning technique that simultaneously partitions and clusters rows and columns of a data matrix. Since the solution space of biclustering is in infeasible to completely search with current computational mechanisms, this package uses a greedy heuristic. The algorithm featured in this package is, to the best our knowledge, the first biclustering algorithm to work on data with missing values. Li, J., Reisner, J., Pham, H., Olafsson, S., and Vardeman, S. (2020) Biclustering with Missing Data. Information Sciences, 510, 304–316.
Version: | 0.2.3 |
Depends: | ggplot2 (≥ 3.0.0), R (≥ 3.5.0), tidyr (≥ 0.8.1) |
Imports: | biclust (≥ 2.0.1), doParallel (≥ 1.0.14), dplyr (≥ 0.7.6), foreach (≥ 1.4.4), magrittr (≥ 1.5), nycflights13 (≥ 1.0.0), phyclust (≥ 0.1-24) |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2021-06-17 |
DOI: | 10.32614/CRAN.package.biclustermd |
Author: | John Reisner [cre, aut, cph], Hieu Pham [ctb, cph], Jing Li [ctb, cph] |
Maintainer: | John Reisner <johntreisner at gmail.com> |
BugReports: | https://github.com/jreisner/biclustermd/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jreisner/biclustermd |
NeedsCompilation: | no |
Materials: | README |
In views: | MissingData |
CRAN checks: | biclustermd results |
Reference manual: | biclustermd.pdf |
Vignettes: |
Biclustering Airport Delay Data |
Package source: | biclustermd_0.2.3.tar.gz |
Windows binaries: | r-devel: biclustermd_0.2.3.zip, r-release: biclustermd_0.2.3.zip, r-oldrel: biclustermd_0.2.3.zip |
macOS binaries: | r-release (arm64): biclustermd_0.2.3.tgz, r-oldrel (arm64): biclustermd_0.2.3.tgz, r-release (x86_64): biclustermd_0.2.3.tgz, r-oldrel (x86_64): biclustermd_0.2.3.tgz |
Old sources: | biclustermd archive |
Please use the canonical form https://CRAN.R-project.org/package=biclustermd 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.