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 Sanderson et al. (2015).
|Date of publication||2015-06-25 05:32:44|
|Maintainer||Murray Cox <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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