The blog includes information on the modelling framework, for single species qPCR data developed in Griffin, J. E., Matechou, E. Buxton, A. S., Bormpoudakis, D. and Griffiths, R. A., (2020

) Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors, Journal of the Royal Statistical Society: Series C (Applied Statistics), which has been implemented by Alex Diana into our freely available R Shiny eDNA app. The source code of the RShiny app and examples of how to use the app to analyse single species qPCR data are also available.

The app can be accessed on the Shiny server or, for more stable performance, it can be downloaded by going to the Download tab and following the steps outlined to run it on your own machine.

If you have any questions please email me (Dr Eleni Matechou, e.matechou@kent.ac.uk). Similarly, we would love to know if you have used the app to analyse your data so do drop me an email with the details.