subsemble
An Ensemble Method for Combining Subset-Specific Algorithm Fits
The Subsemble algorithm is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of k-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble. The paper, "Subsemble: An ensemble method for combining subset-specific algorithm fits" is authored by Stephanie Sapp, Mark J. van der Laan & John Canny (2014) <doi:10.1080/02664763.2013.864263>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | subsemble_0.1.0.tar.gz |
50.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | subsemble_0.1.0.tar.gz |
50.6 KiB |
0.1.0 |
rolling source/ R- | subsemble_0.1.0.tar.gz |
14.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | subsemble_0.1.0.tar.gz |
50.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | subsemble_0.1.0.tar.gz |
50.6 KiB |
0.1.0 |
latest source/ R- | subsemble_0.1.0.tar.gz |
14.3 KiB |
0.1.0 |
2026-04-26 source/ R- | subsemble_0.1.0.tar.gz |
14.3 KiB |
0.1.0 |
2026-04-23 source/ R- | subsemble_0.1.0.tar.gz |
14.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | subsemble_0.1.0.zip |
52.5 KiB |
0.1.0 |
2025-04-20 source/ R- | subsemble_0.1.0.tar.gz |
14.3 KiB |