The blog includes information, the source code and examples for our freely-available R Shiny eDNA app implementing the methods developed in Griffin, J. E., Matechou, E. Buxton, A. S., Bormpoudakis, D. and Griffiths, R. A., (2019) 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) and developed by Alex Diana.

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 our 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.