Package: adwave 1.4

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>.

Authors:Jean Sanderson [aut], Murray Cox [aut, cre]

adwave_1.4.tar.gz
adwave_1.4.zip(r-4.7)adwave_1.4.zip(r-4.6)adwave_1.4.zip(r-4.5)
adwave_1.4.tgz(r-4.6-any)adwave_1.4.tgz(r-4.5-any)
adwave_1.4.tar.gz(r-4.7-any)adwave_1.4.tar.gz(r-4.6-any)
adwave_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
adwave/json (API)

# Install 'adwave' in R:
install.packages('adwave', repos = c('https://mpcox.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • admix - Simulated Admixed Population Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 4 scripts 262 downloads 3 exports 2 dependencies

Last updated from:6371de9cc0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK160
linux-release-x86_64OK102
macos-release-arm64OK164
macos-oldrel-arm64OK149
windows-develOK93
windows-releaseOK57
windows-oldrelOK60
wasm-releaseOK101

Exports:plotsignalsignalwavesum

Dependencies:multitaperwaveslim