PEGroupTesting-package: Population Proportion Estimation using Group Testing

In PEGroupTesting: Population Proportion Estimation using Group Testing

Description

The population proportion using group testing can be estimated by different methods. Four functions including p.mle(), p.gart(), p.burrow() and p.order() are provided to implement four estimating methods including the maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order statistic estimate.

Author(s)

Qingyang Zhang, Yanchuan Li

Maintainer: Qingyang Zhang <[e-mail]>

References

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

Ding, J. and Xiong, W. (2016) A new estimator for a population proportion using group testing. Communication in Statistics-Simulation and Computation. 45(101-114) <http://dx.doi.org/10.1080/03610918.2013.854909>

Gart, J. (1991) An application of score methodology: confidence intervals and tests of fit for one-hit curves. Handbook of Statistics, 8(395-406), Amsterdam Elsevier. <https://www.elsevier.com/books/book-series/handbook-of-statistics>

Burrows, P. (1987) Improved estimation of pathogen transmission rates by group testing. Phytopathology. 77(363-365) <https://www.apsnet.org/publications/phytopathology/backissues/Documents/1987Articles>

Examples

library(PEGroupTesting)
mydata=matrix(c(50,10,45),nrow=1,ncol=3,byrow=TRUE)
p.mle(mydata)
p.burrow(mydata)
p.gart(mydata)
p.order(mydata)

PEGroupTesting documentation built on May 29, 2017, 9:18 p.m.