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).

Author
Jean Sanderson
Date of publication
2015-06-25 05:32:44
Maintainer
Murray Cox <m.p.cox@massey.ac.nz>
License
GPL (>= 2)
Version
1.1

View on CRAN

Man pages

admix
Simulated Admixed Population Data
adwave-package
Wavelet Analysis of Genomic Data from Admixed Populations
plotsignal
Plot Localized Admixture Signals
signal
Compute Localized Admixture Signals
wavesum
Wavelet Summaries of Localized Admixture Signals

Files in this package

adwave
adwave/NAMESPACE
adwave/data
adwave/data/admix.rda
adwave/R
adwave/R/wavesum.R
adwave/R/signal.R
adwave/R/plotsignal.R
adwave/MD5
adwave/DESCRIPTION
adwave/man
adwave/man/admix.Rd
adwave/man/adwave-package.Rd
adwave/man/plotsignal.Rd
adwave/man/signal.Rd
adwave/man/wavesum.Rd