LeiLi-Uchicago/Cookie: An sampling method to select representative samples from large population
This method quantify relationship among samples as pairwise distances by comparing their given properties. Then samples will be selected by k-medoids clustering based on the pairwise distances. This method is also computationally efficient to determine the appropriate sample size that balance representativeness and cost.
Getting started
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Package details |
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| Author | Lei Li [aut, cre] |
| Maintainer | Lei Li <leil@uchicago.edu> |
| License | GPL-3 |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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