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>.
Package details |
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Author | Jean Sanderson |
Maintainer | Murray Cox <murray.p.cox@gmail.com> |
License | GPL (>= 2) |
Version | 1.3 |
URL | https://doi.org/10.1534/genetics.115.176842 |
Package repository | View on CRAN |
Installation |
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