NCSampling
Nearest Centroid (NC) Sampling
Provides functionality for performing Nearest Centroid (NC) Sampling. The NC sampling procedure was developed for forestry applications and selects plots for ground measurement so as to maximize the efficiency of imputation estimates. It uses multiple auxiliary variables and multivariate clustering to search for an optimal sample. Further details are given in Melville G. & Stone C. (2016) <doi:10.1080/00049158.2016.1218265>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | NCSampling_1.0.tar.gz |
137.1 KiB |
1.0 |
rolling linux/noble R-4.5 | NCSampling_1.0.tar.gz |
137.2 KiB |
1.0 |
rolling source/ R- | NCSampling_1.0.tar.gz |
62.4 KiB |
1.0 |
latest linux/jammy R-4.5 | NCSampling_1.0.tar.gz |
137.1 KiB |
1.0 |
latest linux/noble R-4.5 | NCSampling_1.0.tar.gz |
137.2 KiB |
1.0 |
latest source/ R- | NCSampling_1.0.tar.gz |
62.4 KiB |
1.0 |
2026-04-26 source/ R- | NCSampling_1.0.tar.gz |
62.4 KiB |
1.0 |
2026-04-23 source/ R- | NCSampling_1.0.tar.gz |
62.4 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | NCSampling_1.0.zip |
140.4 KiB |
1.0 |
2025-04-20 source/ R- | NCSampling_1.0.tar.gz |
62.4 KiB |