Fig. 2
From: ClineHelpR: an R package for genomic cline outlier detection and visualization
Example workflow for parsing Bayesian genomic cline (bgc) output, visualizing MCMC traces, detecting outliers, and plotting results. The ‘phiPlot’ (right-side, lower right box) shows hybrid indices (x-axis) and probability of parental population1 alleles (y-axis), plus a histogram of hybrid indices in the admixed population. The ‘alphaBetaPlot’ (left-side, lower right box) shows 2D density of cline width/rate representing the cline center (i.e., bias in SNP ancestry; α; x-axis) and steepness of clines (ß; y-axis). Outliers are additionally encapsulated using polygon hulls