R: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework

# Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework

## Documentation for package ‘assignPOP’ version 1.3.1

- DESCRIPTION file

## Help Pages

accuracy.kfold | Estimate assignment accuracies of K-fold cross-validation results
accuracy.MC | Estimate assignment accuracy of Monte-Carlo cross-validation results
accuracy.plot | Make a boxplot (ggplot2 style) of assignment accuracy from cross-validation results
assign.kfold | Population assignment test using K-fold cross-validation
assign.matrix | Make an assignment maxtrix from cross-validation results
assign.MC | Population assignment test using Monte-Carlo cross-validation
assign.X | Perform a population assignment test on unknown individuals using known data
check.loci | Check which loci frequently have high Fst across training sets
compile.data | Compile genetic and other non-genetic data
membership.plot | Make a membership probability plot using results from K-fold cross-validation (ggplot2 style)
read.Genepop | Read GENEPOP format file
read.Structure | Read Structure format file
reduce.allele | Remove low variance alleles (dimensionality reduction)