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All functions

.correct_negative_control()
compute negative control bias correction (intended for internal use)
.filter_data_low_counts()
filter minimum total counts and zero count rows
.generate_model_input()
format model input (intended for internal use)
.get_phi_summary()
get phi parameter summary (intended for internal use)
.get_score_df()
get variant scores dataframe
.summarize_posteriors()
summarize posterior samples (intended for internal use)
lilace_fit_model()
Run Lilace
lilace_from_counts()
Create Lilace object from counts
lilace_from_enrich()
Create Lilace object from enrich processed counts output
lilace_from_files()
Create Lilace object from separate count files for each bin and replicate
lilace_score_density()
Generate score histograms/density plots by mutation type
lilace_score_heatmap()
Generate score heatmap
lilace_sorting_normalize()
Normalize data to cell sorting proportions