prob_hn: ProbHn

In yelleKneK/SMSD: Sequential Methods for Study Design

ProbHn

Description

prob_hn replicates the ProbHn function from chapter 2 of Mukhopadhyay and de Silva (2009).

Usage

prob_hn(alpha, n, c_min = 0, c_max = 10, by = 0.04, dec = 4)

Arguments

alpha	The selected significance level.
n	The sample size.
c_min	The minimum value of c to try in the calulcations, default = 0.
c_max	The maximum value of c to try in the calculations, default = 10.
by	The increment of the sequence between c_min and c_max, default = 0.04.
dec	The number of decimal places to use when removing probabilities of 0 and 1 from the ends of the results.

Details

This function computes the probability of K(n) > c*sigma for given alpha and sample size.

Value

A sequence of values of c and the corresponding probabilities.

Author(s)

Bhargab Chattopadhyay [e-mail], Ken Kelley [e-mail]

References

Mukhopadhyay, N., \& de Silva, B. M. (2009). Sequential Methods and Their Applications. New York: CRC Press.

Examples

alpha = 0.05
n = 20
vals <- prob_hn(alpha = alpha, n = n)
vals

yelleKneK/SMSD documentation built on Nov. 23, 2022, 6:40 p.m.