Package: eDNAjoint 0.2

Abigail G. Keller

eDNAjoint: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework

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:Abigail G. Keller [aut, cre], Ryan P. Kelly [ctb], Chitra M. Saraswati [rev], Saras M. Windecker [rev]

eDNAjoint_0.2.tar.gz
eDNAjoint_0.2.tar.gz(r-4.5-noble)eDNAjoint_0.2.tar.gz(r-4.4-noble)
eDNAjoint.pdf |eDNAjoint.html
eDNAjoint/json (API)
NEWS

# Install 'eDNAjoint' in R:
install.packages('eDNAjoint', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ropensci/ednajoint/issues

Pkgdown:https://docs.ropensci.org

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

cpp

1.70 score 9 scripts 162 downloads 7 exports 68 dependencies

Last updated 2 months agofrom:2e10b9ad52. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linux-x86_64OKDec 08 2024

Exports:detectionCalculatedetectionPlotjointModeljointSelectjointSummarizemuCriticaltraditionalModel

Dependencies:abindbackportsbayestestRBHcallrcheckmateclicolorspacecpp11data.tabledatawizarddescdistributionaldplyrfansifarvergenericsggplot2gluegridExtragtableinlineinsightisobandjsonlitelabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrlistrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithrXMLyaml