eDNAjoint
0.3.3Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework
Overview
Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: https://ednajoint.netlify.app/). Models can be used with count data via traditional survey methods (i.e., trapping, electrofishing, visual) and replicated eDNA detection/nondetection data via polymerase chain reaction (i.e., PCR or qPCR) from multiple survey locations. Estimated parameters include probability of a false positive eDNA detection, a site-level covariates that scale the sensitivity of eDNA surveys relative to traditional surveys, and gear scaling coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language.
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Package metadata
- First published
- 2024-10-08
- Total releases
- 5 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 4.3 KB / 2 files
- Download size
- 2.5 MB
- Installed size
- not tracked yet
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- not tracked yet