p.mle: Maximum likelihood estimate for population proportion by...

In PEGroupTesting: Population Proportion Estimation using Group Testing

Description

This function estimates the population proportion by group testing using maximum likelihood method. It is for both equal and unequal group size.

Usage

p.mle(obs)

Arguments

obs	A three-column matrix containing all the data information. Column 1 is the number of groups. Column 2 is group size. Column 3 is number of positives. Different rows corresponds to different group sizes.

Value

The maximum likelihood estimate for population proportion by group testing

Author(s)

Qingyang Zhang, Yanchuan Li

References

Ayung, J. (2003) Tutorial on maximum likelihood estimation. Journal of Mathematical Psychology. 47(1). <http://www.sciencedirect.com/science/article/pii/S0022249602000287>

Examples

library(PEGroupTesting)
mydata=matrix(c(50,10,40,40,8,37),nrow=2,byrow=TRUE)
p.mle(mydata)

Example output

Unequal group size: the estimated p by maximum likelihood method is 0.18918

PEGroupTesting documentation built on May 2, 2019, 7:29 a.m.