allocation_diagnostics
                        Monte-Carlo reliability of the per-cell
                        latent-state probabilities
classify_hicpotts       Officially classify interactions from sampled
                        HiCPotts latent states
combine_hicpotts_blocks
                        Combine independently fitted HiCPotts matrix
                        blocks
compute_HMRFHiC_probabilities
                        Compute HiCPotts Probabilities of Assigning an
                        Interaction to Each Component
diagnose_hicpotts_fit   Diagnose HiCPotts parameter estimation
get_data                Extract Hi-C Bin Interactions with GC,
                        Accessibility, and TE Counts
HiCPotts-package        HiCPotts: Hierarchical Modeling to Identify and
                        Correct Genomic Biases in Hi-C
plot_hicpotts_mcmc_by_component
                        Plot HiCPotts MCMC traces by component
plot_upper_prob_lower_count
                        Plot a dual-triangle Hi-C heatmap
posterior_predictive_hicpotts
                        Conditional posterior-predictive diagnostics
                        for HiCPotts
process_data            CSV file Data Processing for Hi-C Interaction
                        Matrices and Covariates
relabel_hicpotts        Relabel HiCPotts output
run_chain_betas         Fit one or more Hi-C datasets with HiCPotts
summarise_hicpotts_parameters
                        Report HiCPotts parameter summaries and
                        diagnostic criteria
summarise_hicpotts_probabilities
                        Summarise HiCPotts posterior probabilities
