n.binom: Binomial sample size

In RSurveillance: Design and Analysis of Disease Surveillance Activities

Description

Calculates sample size for demonstrating freedom or detecting disease using binomial approach and assuming imperfect test sensitivity, perfect test specificity and representative sampling

Usage

n.binom(sep, pstar, se = 1)

Arguments

sep	desired population sensitivity (scalar or vector)
pstar	specified design prevalence (scalar or vector of same length as sep)
se	unit sensitivity, default = 1 (scalar or vector of same length as sep)

Value

vector of sample sizes

Examples

# examples for n.binom - checked
n.binom(sep=0.95, pstar=c(0.01, 0.02, 0.05, 0.1, 0.2))
n.binom(c(0.5, 0.8, 0.9, 0.95), 0.01)

RSurveillance documentation built on July 2, 2020, 2:33 a.m.