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>.

Version: 1.3
Depends: waveslim
Published: 2018-05-17
DOI: 10.32614/CRAN.package.adwave
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_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): adwave_1.3.tgz, r-oldrel (arm64): adwave_1.3.tgz, r-release (x86_64): adwave_1.3.tgz, r-oldrel (x86_64): adwave_1.3.tgz
Old sources: adwave archive


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