R: Hierarchical Conformal Prediction for Clustered Data with Missing Responses

# Hierarchical Conformal Prediction for Clustered Data with Missing Responses

## Documentation for package ‘HCPclust’ version 0.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

fit_cond_density_quantile | Estimate conditional density pi(y|x) via quantile process + quotient estimator
fit_missingness_propensity | Fit missingness propensity model P(delta=1 | X) from pooled data
generate_clustered_mar | Simulate clustered continuous outcomes with covariate-dependent MAR missingness
hcp_conformal_region | HCP conformal prediction region with repeated subsampling and repeated data splitting
hcp_predict_targets | HCP prediction wrapper for multiple measurements with optional per-patient Bonferroni
plot_hcp_intervals | Plot HCP prediction intervals (band vs covariate or intervals by patient)