Package: eDNAjoint 0.2
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://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:
eDNAjoint_0.2.tar.gz
eDNAjoint_0.2.zip(r-4.5)eDNAjoint_0.2.zip(r-4.4)eDNAjoint_0.2.zip(r-4.3)
eDNAjoint_0.2.tgz(r-4.4-x86_64)eDNAjoint_0.2.tgz(r-4.4-arm64)eDNAjoint_0.2.tgz(r-4.3-x86_64)eDNAjoint_0.2.tgz(r-4.3-arm64)
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://ropensci.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/ednajoint/issues
- gobyData - GobyData
- greencrabData - GreencrabData
Last updated 3 days agofrom:adb3faaa27 (on master). Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 11 2024 |
R-4.5-win-x86_64 | NOTE | Oct 11 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 11 2024 |
R-4.4-win-x86_64 | NOTE | Oct 11 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 11 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 11 2024 |
R-4.3-win-x86_64 | NOTE | Oct 11 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 11 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 11 2024 |
Exports:detectionCalculatedetectionPlotjointModeljointSelectjointSummarizemuCriticaltraditionalModel
Dependencies:abindbackportsbayestestRBHcallrcheckmateclicolorspacecpp11data.tabledatawizarddescdistributionaldplyrfansifarvergenericsggplot2gluegridExtragtableinlineinsightisobandjsonlitelabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrlistrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithrXMLyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The 'eDNAjoint' package. | eDNAjoint-package eDNAjoint |
Calculate the survey effort necessary to detect species presence, given the species expected catch rate. | detectionCalculate |
Plot the survey effort necessary to detect species presence, given the species expected catch rate. | detectionPlot |
gobyData | gobyData |
greencrabData | greencrabData |
Specify and fit joint model using count data from traditional surveys and eDNA qPCR data | jointModel |
Perform model selection using leave one out cross validation of model objects | jointSelect |
Summarize posterior distributions of model parameters. | jointSummarize |
Calculate mu_critical | muCritical |
Specify and fit model using count data from traditional, non eDNA surveys | traditionalModel |