BinomialProbabilities: Binomial probabilities for stability score

In sharp: Stability-enHanced Approaches using Resampling Procedures

Binomial probabilities for stability score

Description

Computes the probabilities of observing each category of selection proportions under the assumption of a uniform selection procedure.

Usage

BinomialProbabilities(q, N, pi, K, n_cat = 3)

Arguments

q	average number of features selected by the underlying algorithm.
N	total number of features.
pi	threshold in selection proportions. If n_cat=3, these values must be >0.5 and <1. If n_cat=2, these values must be >0 and <1.
K	number of resampling iterations.
n_cat	computation options for the stability score. Default is NULL to use the score based on a z test. Other possible values are 2 or 3 to use the score based on the negative log-likelihood.

Value

A list of probabilities for each of the 2 or 3 categories of selection proportions.

sharp documentation built on April 11, 2025, 5:44 p.m.