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 Sanderson et al. (2015).

Version: 1.2
Depends: waveslim
Published: 2017-09-14
Author: Jean Sanderson
Maintainer: Murray Cox <murray.p.cox at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: adwave results


Reference manual: adwave.pdf
Package source: adwave_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: adwave_1.2.tgz, r-oldrel: adwave_1.2.tgz
Old sources: adwave archive


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