MAVE
Methods for Dimension Reduction
Functions for dimension reduction, using MAVE (Minimum Average Variance Estimation), OPG (Outer Product of Gradient) and KSIR (sliced inverse regression of kernel version). Methods for selecting the best dimension are also included. Xia (2002) <doi:10.1111/1467-9868.03411>; Xia (2007) <doi:10.1214/009053607000000352>; Wang (2008) <doi:10.1198/016214508000000418>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.12 |
rolling linux/jammy R-4.5 | MAVE_1.3.12.tar.gz |
1.1 MiB |
1.3.12 |
rolling linux/noble R-4.5 | MAVE_1.3.12.tar.gz |
1.1 MiB |
1.3.12 |
rolling source/ R- | MAVE_1.3.12.tar.gz |
879.6 KiB |
1.3.12 |
latest linux/jammy R-4.5 | MAVE_1.3.12.tar.gz |
1.1 MiB |
1.3.12 |
latest linux/noble R-4.5 | MAVE_1.3.12.tar.gz |
1.1 MiB |
1.3.12 |
latest source/ R- | MAVE_1.3.12.tar.gz |
879.6 KiB |
1.3.12 |
2026-04-26 source/ R- | MAVE_1.3.12.tar.gz |
879.6 KiB |
1.3.12 |
2026-04-23 source/ R- | MAVE_1.3.12.tar.gz |
879.6 KiB |
1.3.12 |
2026-04-09 windows/windows R-4.5 | MAVE_1.3.12.zip |
1.4 MiB |
1.3.11 |
2025-04-20 source/ R- | MAVE_1.3.11.tar.gz |
816.6 KiB |