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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "eDNAjoint" in publications use:'
type: software
license: GPL-3.0-only
title: 'eDNAjoint: Joint Modeling of Traditional and Environmental DNA Survey Data
  in a Bayesian Framework'
version: '0.2'
doi: 10.32614/CRAN.package.eDNAjoint
abstract: '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
  catchability coefficients for traditional gear types. Models are implemented with
  a Bayesian framework (Markov chain Monte Carlo) using the ''Stan'' probabilistic
  programming language.'
authors:
- family-names: Keller
  given-names: Abigail G.
  email: agkeller@berkeley.edu
repository: https://ropensci.r-universe.dev
repository-code: https://github.com/ropensci/eDNAjoint
commit: c18b6621e4c93e930b9c244d122c607eb94d8e9b
url: https://docs.ropensci.org/eDNAjoint/
contact:
- family-names: Keller
  given-names: Abigail G.
  email: agkeller@berkeley.edu