R: Machine Learning for Integrating Partially Overlapped Genetic Datasets

# Machine Learning for Integrating Partially Overlapped Genetic Datasets

## Documentation for package ‘DataFusionGDM’ version 1.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

apply_procrustes | Procrustes alignment and mapping back to distances
besmi_batch_impute | Run BESMI imputation for a list of dataset paths
besmi_create_masked_matrices | Create masked matrices for BESMI
besmi_impute_single_dataset | Impute a single dataset from masked matrix path
besmi_iterative_imputation | Iterative imputation with MICE (tails-chain)
besmi_knn_impute | KNN imputation sweep (uses VIM::kNN)
besmi_prepare_full_dataset | Prepare full GDM dataset from CSV or RData
coords_to_distances | Convert coordinate matrix to distance matrix
create_distance_heatmap | Create a heatmap of genetic distances (ggplot2)
create_mds_plot | Create MDS plot of genetic distances
export_simulated_gdm | Export a simulated GDM to CSV
perform_mds | Perform MDS on a pair of distance matrices
run_genetic_scenario | Run simulation with predefined biological scenarios
run_genetic_simulation | Run a high-level genetic simulation with configurable model
simulate_genetic_distances | Simulate genetic distances using realistic population structure
visualize_results | Create plotting handles for simulation results