sep.binom: Binomial Population sensitivity

Description Usage Arguments Value Examples

View source: R/freedom_functions_1.R

Description

Calculates population sensitivity for detecting disease, assuming imperfect test sensitivity and specificity and representative sampling, using binomial distribution (assumes large or unknown population size and that cut-point number of reactors for a positive result = 1)

Usage

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sep.binom(n, pstar, se = 1, sp = 1, dig = 5)

Arguments

n

sample size = number of units tested (integer), scalar or vector

pstar

design prevalence as a proportion (scalar or vector of same length as n)

se

unit sensitivity of test (proportion), default = 1 (scalar or vector of same length as n)

sp

unit specificity of test (proportion), default = 1 (scalar or vector of same length as n)

dig

number of digits for rounding of results

Value

vector of population-level sensitivities

Examples

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# examples for sep.binom - checked
sep.binom(n=300, pstar = 0.02, se = 0.92)
tested<- seq(10,100, by=10)
prev<- 0.05
sens<- 0.9
sep.binom(tested, prev, sens)

RSurveillance documentation built on May 29, 2017, 11:52 p.m.