resemble
Memory-Based Learning in Spectral Chemometrics
Functions for dissimilarity analysis and memory-based learning (MBL, a.k.a local modeling) in complex spectral data sets. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.0 |
rolling linux/jammy R-4.5 | resemble_3.0.0.tar.gz |
4.4 MiB |
3.0.0 |
rolling linux/noble R-4.5 | resemble_3.0.0.tar.gz |
4.4 MiB |
3.0.0 |
rolling source/ R- | resemble_3.0.0.tar.gz |
4.2 MiB |
3.0.0 |
latest linux/jammy R-4.5 | resemble_3.0.0.tar.gz |
4.4 MiB |
3.0.0 |
latest linux/noble R-4.5 | resemble_3.0.0.tar.gz |
4.4 MiB |
3.0.0 |
latest source/ R- | resemble_3.0.0.tar.gz |
4.2 MiB |
3.0.0 |
2026-04-26 source/ R- | resemble_3.0.0.tar.gz |
4.2 MiB |
3.0.0 |
2026-04-23 source/ R- | resemble_3.0.0.tar.gz |
4.2 MiB |
2.2.5 |
2026-04-09 windows/windows R-4.5 | resemble_2.2.5.zip |
1.9 MiB |
2.2.3 |
2025-04-20 source/ R- | resemble_2.2.3.tar.gz |
1.5 MiB |