Package index

All functions

autotune_cissvae()

Autotune CISS-VAE hyperparameters with Optuna

check_devices()

Check PyTorch device availability

clusters

Cluster assignments based on missingness patterns

cluster_heatmap()

Cluster-wise Heatmap of Missing Data Patterns

cluster_on_missing()

Cluster on Missingness Patterns

cluster_on_missing_prop()

Cluster Samples Based on Missingness Proportions

cluster_summary()

Cluster-wise summary table using a separate cluster vector (gtsummary + gt)

create_cissvae_env()

Create or reuse a CISSVAE Python virtual environment

create_missingness_prop_matrix()

Create Missingness Proportion Matrix

df_missing

Sample dataset with missing values

dni

Example dni matrix for demo of imputable_matrix

mock_surv

Example survival data for demo of imputable_matrix

performance_by_cluster()

Compute per-cluster and per-group performance metrics (MSE, BCE)

plot_vae_architecture()

Plot VAE Architecture Diagram

run_cissvae()

Run the CISS-VAE pipeline for missing data imputation