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
Author:	Jean Sanderson
Maintainer:	Murray Cox <murray.p.cox at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://doi.org/10.1534/genetics.115.176842
NeedsCompilation:	no
CRAN checks:	adwave results

Documentation:

Reference manual:

adwave.pdf

Downloads:

Package source:	adwave_1.3.tar.gz
Windows binaries:	r-devel: adwave_1.3.zip, r-release: adwave_1.3.zip, r-oldrel: adwave_1.3.zip
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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