SCBiclust
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) doi:10.1111/biom.13136. 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.
- Version1.0.1
- R version≥ 3.4.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release06/09/2022
Team
Erika S. Helgeson
Eric Bair
Qian Liu
Guanhua Chen
Michael R. Kosorok
Insights
Last 30 days
This package has been downloaded 148 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,118 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 66 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages