sketching
Sketching of Data via Random Subspace Embeddings
Construct sketches of data via random subspace embeddings. For more details, see the following papers. Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Proceedings of the 39th International Conference on Machine Learning (ICML22), 162:12498-12520. Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45–80.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | sketching_0.1.2.tar.gz |
1.7 MiB |
0.1.2 |
rolling linux/noble R-4.5 | sketching_0.1.2.tar.gz |
1.7 MiB |
0.1.2 |
rolling source/ R- | sketching_0.1.2.tar.gz |
954.3 KiB |
0.1.2 |
latest linux/jammy R-4.5 | sketching_0.1.2.tar.gz |
1.7 MiB |
0.1.2 |
latest linux/noble R-4.5 | sketching_0.1.2.tar.gz |
1.7 MiB |
0.1.2 |
latest source/ R- | sketching_0.1.2.tar.gz |
954.3 KiB |
0.1.2 |
2026-04-26 source/ R- | sketching_0.1.2.tar.gz |
954.3 KiB |
0.1.2 |
2026-04-23 source/ R- | sketching_0.1.2.tar.gz |
954.3 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | sketching_0.1.2.zip |
2.0 MiB |
0.1.2 |
2025-04-20 source/ R- | sketching_0.1.2.tar.gz |
954.3 KiB |