adwave: Wavelet Analysis of Genomic Data from Admixed Populations
Version 1.1

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).

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AuthorJean Sanderson
Date of publication2015-06-25 05:32:44
MaintainerMurray Cox <m.p.cox@massey.ac.nz>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("adwave")

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

Functions

admix Man page
adwave Man page
adwave-package Man page
plotsignal Man page Source code
signal Man page Source code
wavesum Man page Source code

Files

NAMESPACE
data
data/admix.rda
R
R/wavesum.R
R/signal.R
R/plotsignal.R
MD5
DESCRIPTION
man
man/admix.Rd
man/adwave-package.Rd
man/plotsignal.Rd
man/signal.Rd
man/wavesum.Rd
adwave documentation built on May 20, 2017, 1:30 a.m.