Package index • rCISSVAE

All functions

autotune_cissvae(): Autotune CISS-VAE hyperparameters with Optuna ...

cluster_on_missing(): Cluster on Missingness Patterns

clusters: Cluster assignments based on missingness patterns

create_cissvae_env(): Create or reuse a CISSVAE Python virtual environment

df_complete: Complete version of the sample dataset

df_missing: Sample dataset with missing values

evaluate_imputation(): Evaluate imputation accuracy (R wrapper)

extract_cissvae_arch(): Extract CISSVAE architecture metadata

plot_cissvae_arch(): Plot CISS-VAE architecture schematic

run_cissvae(): Run the CISS-VAE pipeline (letting Python choose device)