## 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).

Version: |
1.1 |

Depends: |
waveslim |

Published: |
2015-06-25 |

Author: |
Jean Sanderson |

Maintainer: |
Murray Cox <m.p.cox at massey.ac.nz> |

License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

NeedsCompilation: |
no |

CRAN checks: |
adwave results |

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