DataFusionGDM1.3.2 package

Procrustes alignment and mapping back to distances

Run BESMI imputation for a list of dataset paths

Create masked matrices for BESMI

Impute a single dataset from masked matrix path

Iterative imputation with MICE (tails-chain)

KNN imputation sweep (uses VIM::kNN)

Prepare full GDM dataset from CSV or RData

Convert coordinate matrix to distance matrix

Create a heatmap of genetic distances (ggplot2)

Create MDS plot of genetic distances

Distance metrics

Determine bootstrap sample count for a given k

Initialize matrix by column means

Double-center a distance matrix

Export a simulated GDM to CSV

Perform MDS on a pair of distance matrices

Run simulation with predefined biological scenarios

Run a high-level genetic simulation with configurable model

Simulate genetic distances using realistic population structure

Create plotting handles for simulation results