Prevalence and Regression for Pool-Tested (Group-Tested) Data

An easy-to-use tool for working with presence/absence tests on 'pooled' or 'grouped' samples. The primary application is for estimating prevalence of a marker in a population based on the results of tests on pooled specimens. This sampling method is often employed in surveillance of rare conditions in humans or animals (e.g. molecular xenomonitoring). The package was initially conceived as an R-based alternative to the molecular xenomonitoring software, 'PoolScreen' <>. However, it goes further, allowing for estimates of prevalence to be adjusted for hierarchical sampling frames, and perform flexible mixed-effect regression analyses (McLure et al. pre-print ). The package is currently in early stages, however more features are planned or in the works: e.g. adjustments for imperfect test specificity/sensitivity, functions for helping with optimal experimental design, and functions for spatial modelling.


Reference manual

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0.1.1 by Angus McLure, a year ago

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Authors: Angus McLure [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports dplyr, methods, Rcpp, rstan, rstantools, brms, stats, lme4, stringr, progress

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make

See at CRAN