binom.jeffreys: Jeffreys confidence limits

In evansergeant/RSurveillance: Design and Analysis of Disease Surveillance Activities

Description

Calculates Jeffreys confidence limits for a simple proportion (apparent prevalence)

Usage

binom.jeffreys(x, n, conf = 0.95)

Arguments

x	number of positives in sample
n	sample size, note: either x or n can be a vector, but at least one must be scalar
conf	level of confidence required, default = 0.95 (scalar)

Value

a dataframe with 6 columns, x, n, proportion, lower confidence limit, upper confidence limit, confidence level and CI method

Examples

# test binom.jeffreys
binom.jeffreys(25, 200)
binom.jeffreys(seq(10, 100, 10), 200)
binom.jeffreys(50, seq(100, 1000, 100))

evansergeant/RSurveillance documentation built on Nov. 8, 2019, 1:32 a.m.