ss_best_binomial: Sample Size to Select the Best Group in a Binomial Test

In ssutil: Sample Size Calculation Tools

Sample Size to Select the Best Group in a Binomial Test

Description

Computes the minimum sample size per group required to achieve a target probability of correctly selecting the best group in a binomial test. The best group is assumed to have success probability p1, and the other groups have p1 - dif.

Usage

ss_best_binomial(power, p1, dif, ngroups, max_n = 1000)

Arguments

power	Numeric. Desired probability of correctly selecting the best group (in [0, 1]).
p1	Numeric. Probability of success in the best group (in [0, 1]).
dif	Numeric. Difference in success probability with the next best group (> 0).
ngroups	Integer. Number of groups (must be > 1).
max_n	Integer. Maximum sample size to evaluate (default is 1000).

Details

The function searches for the smallest npergroup such that the power from power_best_binomial is at least the target power.

Value

An integer representing the minimum sample size per group required to reach the specified power.

Examples

ss_best_binomial(power = 0.9, p1 = 0.8, dif = 0.2, ngroups = 4)

ssutil documentation built on Sept. 18, 2026, 1:06 a.m.