Package: adwave 1.3
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:
adwave_1.3.tar.gz
adwave_1.3.zip(r-4.5)adwave_1.3.zip(r-4.4)adwave_1.3.zip(r-4.3)
adwave_1.3.tgz(r-4.4-any)adwave_1.3.tgz(r-4.3-any)
adwave_1.3.tar.gz(r-4.5-noble)adwave_1.3.tar.gz(r-4.4-noble)
adwave_1.3.tgz(r-4.4-emscripten)adwave_1.3.tgz(r-4.3-emscripten)
adwave.pdf |adwave.html✨
adwave/json (API)
# Install 'adwave' in R: |
install.packages('adwave', repos = c('https://mpcox.r-universe.dev', 'https://cloud.r-project.org')) |
- admix - Simulated Admixed Population Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:4eb5e690bc. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:plotsignalsignalwavesum
Dependencies:multitaperwaveslim
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Simulated Admixed Population Data | admix |
Plot Localized Admixture Signals | plotsignal |
Compute Localized Admixture Signals | signal |
Wavelet Summaries of Localized Admixture Signals | wavesum |