| PEGroupTesting-package {PEGroupTesting} | R Documentation |
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 <qz008@uark.edu>
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)