assignPOP
Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
Use Monte-Carlo and K-fold cross-validation coupled with machine-learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.
- Version1.3.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/13/2024
Team
Kuan-Yu (Alex) Chen
Elizabeth A. Marschall
Show author detailsRolesAuthorMichael G. Sovic
Show author detailsRolesAuthorAnthony C. Fries
Show author detailsRolesAuthorH. Lisle Gibbs
Show author detailsRolesAuthorStuart A. Ludsin
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 388 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,888 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jan 24, 2024 with 153 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports11 packages
- Suggests7 packages