Package: eDNAjoint Title: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework Version: 0.3.3 Maintainer: Abigail G. Keller Authors@R: c(person("Abigail G.", "Keller", role = c("aut", "cre"), email="agkeller@berkeley.edu"), person("Ryan P.", "Kelly", role = "ctb", email="rpkelly@uw.edu"), person("Chitra M.", "Saraswati", role = "rev"), person("Saras M.", "Windecker", role = "rev")) Description: Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package 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 gear scaling coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language. License: GPL-3 URL: https://github.com/ropensci/eDNAjoint, https://docs.ropensci.org/eDNAjoint/ BugReports: https://github.com/ropensci/eDNAjoint/issues Encoding: UTF-8 RoxygenNote: 7.3.2 Biarch: true Depends: R (>= 4.1) Imports: bayestestR, dplyr, ggplot2, lifecycle, loo, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlist, rstan (>= 2.26.23), rstantools (>= 2.3.1.1), tidyr, scales LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.23), StanHeaders (>= 2.26.22) SystemRequirements: GNU make LazyData: true Suggests: bayesplot, knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-10-29 10:04:57 UTC; root Author: Abigail G. Keller [aut, cre], Ryan P. Kelly [ctb], Chitra M. Saraswati [rev], Saras M. Windecker [rev] Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2025-06-21 03:29:22 UTC RemoteUrl: https://github.com/cran/eDNAjoint RemoteRef: HEAD RemoteSha: cb8e798fe66e2f1bfc8eafd25d2d7b957e966c56