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eDNAjoint  

Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("eDNAjoint", "0.3.2")



Attach the package and use:
library("eDNAjoint")
Maintained by
Abigail G. Keller
[Scholar Profile | Author Map]
First Published: 2024-10-08
Latest Update: 2024-10-08
Description:
Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: <https://bookdown.org/abigailkeller/eDNAjoint_vignette/>). 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 catchability coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language.
How to cite:
Abigail G. Keller (2024). eDNAjoint: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework. R package version 0.3.2, https://cran.r-project.org/web/packages/eDNAjoint. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.2 (2024-10-08 12:00), 0.3.1 (2025-01-25 18:40), 0.3 (2025-01-17 23:50)
Other packages that cited eDNAjoint R package
View eDNAjoint citation profile
Other R packages that eDNAjoint depends, imports, suggests or enhances
Complete documentation for eDNAjoint
Functions, R codes and Examples using the eDNAjoint R package
Full eDNAjoint package functions and examples
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