Package index
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autotune_cissvae() - Autotune CISS-VAE hyperparameters with Optuna
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cluster_on_missing() - Cluster on Missingness Patterns
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cluster_on_missing_prop() - Cluster Samples Based on Missingness Proportions
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clusters - Cluster assignments based on missingness patterns
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create_cissvae_env() - Create or reuse a CISSVAE Python virtual environment
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create_missingness_prop_matrix() - Create Missingness Proportion Matrix
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df_complete - Complete version of the sample dataset
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df_missing - Sample dataset with missing values
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dni - Example dni matrix for demo of do_not_impute_matrix
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evaluate_imputation() - Evaluate imputation accuracy (R wrapper)
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extract_cissvae_arch() - Extract CISSVAE architecture metadata
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mock_surv - Example survival data for demo of do_not_impute_matrix
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performance_by_cluster() - Calculate performance metrics by cluster and subgroups
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plot_vae_architecture() - Plot VAE Architecture Diagram
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run_cissvae() - Run the CISS-VAE pipeline for missing data imputation