Thresher
Threshing and Reaping for Principal Components
Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.5 |
rolling source/ R- | Thresher_1.1.5.tar.gz |
1.3 MiB |
1.1.5 |
rolling linux/jammy R-4.5 | Thresher_1.1.5.tar.gz |
1.3 MiB |
1.1.5 |
latest source/ R- | Thresher_1.1.5.tar.gz |
1.3 MiB |
1.1.5 |
latest linux/jammy R-4.5 | Thresher_1.1.5.tar.gz |
1.3 MiB |
1.1.5 |
2026-04-23 source/ R- | Thresher_1.1.5.tar.gz |
1.3 MiB |
1.1.5 |
2025-04-20 source/ R- | Thresher_1.1.5.tar.gz |
1.3 MiB |