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Stability Selection

Preform stability selection.

Calculating FDR

Calculate the empirical false discovery rates (FDR) via permutations of the NULL model (randomized permutations).

calc_emp_fdr() calc_emp_fdr_breaks() plot_emp_fdr() plot_permuted_data()
Calculate Empirical Number of False Positives

Stable Features

Return the stable features at various probability thresholds.

get_stable_features()
Calculate Stable Features

Plotting Routines

Various plot traces of stability paths or cluster plots.

Progeny and Stability Clustering

Preform progeny clustering and stability clustering.

progeny_cluster() is_pclust() plot(<pclust>) print(<pclust>)
Perform Progeny Clustering
stability_cluster()
Perform Stability Clustering

Data

Two data sets with clustering structure.

clust_data progeny_data
Package Objects