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: 1.1
Depends: waveslim
Published: 2015-06-25
Author: Jean Sanderson
Maintainer: Murray Cox <m.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_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: adwave_1.1.tgz, r-oldrel: adwave_1.0.tgz
OS X Mavericks binaries: r-release: adwave_1.1.tgz
Old sources: adwave archive