LPCM
Local Principal Curve Methods
Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering. See Einbeck, Tutz and Evers (2005) <doi:10.1007/s11222-005-4073-8> and Ameijeiras-Alonso and Einbeck (2023) <doi:10.1007/s11634-023-00575-1>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.47-6 |
rolling linux/jammy R-4.5 | LPCM_0.47-6.tar.gz |
679.2 KiB |
0.47-6 |
rolling linux/noble R-4.5 | LPCM_0.47-6.tar.gz |
679.1 KiB |
0.47-6 |
rolling source/ R- | LPCM_0.47-6.tar.gz |
540.1 KiB |
0.47-6 |
latest linux/jammy R-4.5 | LPCM_0.47-6.tar.gz |
679.2 KiB |
0.47-6 |
latest linux/noble R-4.5 | LPCM_0.47-6.tar.gz |
679.1 KiB |
0.47-6 |
latest source/ R- | LPCM_0.47-6.tar.gz |
540.1 KiB |
0.47-6 |
2026-04-26 source/ R- | LPCM_0.47-6.tar.gz |
540.1 KiB |
0.47-6 |
2026-04-23 source/ R- | LPCM_0.47-6.tar.gz |
540.1 KiB |
0.47-6 |
2026-04-09 windows/windows R-4.5 | LPCM_0.47-6.zip |
683.1 KiB |
0.47-6 |
2025-04-20 source/ R- | LPCM_0.47-6.tar.gz |
540.1 KiB |