mixedLSR
Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data
Mixed, low-rank, and sparse multivariate regression ('mixedLSR') provides tools for performing mixture regression when the coefficient matrix is low-rank and sparse. 'mixedLSR' allows subgroup identification by alternating optimization with simulated annealing to encourage global optimum convergence. This method is data-adaptive, automatically performing parameter selection to identify low-rank substructures in the coefficient matrix.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | mixedLSR_0.1.0.tar.gz |
186.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | mixedLSR_0.1.0.tar.gz |
186.0 KiB |
0.1.0 |
rolling source/ R- | mixedLSR_0.1.0.tar.gz |
127.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | mixedLSR_0.1.0.tar.gz |
186.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | mixedLSR_0.1.0.tar.gz |
186.0 KiB |
0.1.0 |
latest source/ R- | mixedLSR_0.1.0.tar.gz |
127.1 KiB |
0.1.0 |
2026-04-26 source/ R- | mixedLSR_0.1.0.tar.gz |
127.1 KiB |
0.1.0 |
2026-04-23 source/ R- | mixedLSR_0.1.0.tar.gz |
127.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | mixedLSR_0.1.0.zip |
189.0 KiB |
0.1.0 |
2025-04-20 source/ R- | mixedLSR_0.1.0.tar.gz |
127.1 KiB |