adwave
Wavelet Analysis of Genomic Data from Admixed Populations
Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see J Sanderson, H Sudoyo, TM Karafet, MF Hammer and MP Cox. 2015. Reconstructing past admixture processes from local genomic ancestry using wavelet transformation. Genetics 200:469-481 <doi:10.1534/genetics.115.176842>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling linux/jammy R-4.5 | adwave_1.4.tar.gz |
152.3 KiB |
1.4 |
rolling linux/noble R-4.5 | adwave_1.4.tar.gz |
152.2 KiB |
1.4 |
rolling source/ R- | adwave_1.4.tar.gz |
117.3 KiB |
1.4 |
latest linux/jammy R-4.5 | adwave_1.4.tar.gz |
152.3 KiB |
1.4 |
latest linux/noble R-4.5 | adwave_1.4.tar.gz |
152.2 KiB |
1.4 |
latest source/ R- | adwave_1.4.tar.gz |
117.3 KiB |
1.4 |
2026-04-26 source/ R- | adwave_1.4.tar.gz |
117.3 KiB |
1.4 |
2026-04-23 source/ R- | adwave_1.4.tar.gz |
117.3 KiB |
1.4 |
2026-04-09 windows/windows R-4.5 | adwave_1.4.zip |
154.6 KiB |
1.3 |
2025-04-20 source/ R- | adwave_1.3.tar.gz |
116.5 KiB |