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PoolTestR  

Prevalence and Regression for Pool-Tested (Group-Tested) Data
View on CRAN: Click here


Download and install PoolTestR package within the R console
Install from CRAN:
install.packages("PoolTestR")

Install from Github:
library("remotes")
install_github("cran/PoolTestR")

Install by package version:
library("remotes")
install_version("PoolTestR", "0.2.0")



Attach the package and use:
library("PoolTestR")
Maintained by
Angus McLure
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-08
Latest Update: 2024-12-05
Description:
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. Environmental Modelling and Software. ). 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.
How to cite:
Angus McLure (2021). PoolTestR: Prevalence and Regression for Pool-Tested (Group-Tested) Data. R package version 0.2.0, https://cran.r-project.org/web/packages/PoolTestR. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 0.1.0 (2021-02-08 12:00), 0.1.1 (2021-02-15 06:50), 0.1.2 (2022-01-19 01:22), 0.1.3 (2022-07-01 09:30)
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