Hierarchical Conformal Prediction for Clustered Data with Missing Responses

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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)