adwave (version 1.2)

adwave-package: Wavelet Analysis of Genomic Data from Admixed Populations

Description

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).

Details

Package:	adwave
Type:	Package
Version:	1.1
Date:	2015-06-24
License: GPL (>=2)	Package:

References

Sanderson, J., H. Sudoyo, T.M. Karafet, M.F. Hammer and M.P. Cox. 2015. Reconstructing past admixture processes from local genomic ancestry using wavelet transformation. Genetics 200:469-481.

See Also

signal, wavesum, plotsignal

Examples

# NOT RUN {
# see examples in individual help files
# }