# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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' version: '0.1' abstract: '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.' authors: - family-names: Keller given-names: Abigail G. email: agkeller@berkeley.edu repository: https://ropensci.r-universe.dev repository-code: https://github.com/abigailkeller/eDNAjoint commit: 0402e423b33b475c60c74afe83d77564327d8838 url: https://github.com/abigailkeller/eDNAjoint contact: - family-names: Keller given-names: Abigail G. email: agkeller@berkeley.edu