doi:10.1002/lom3.10011> and Wanninkhof (2014) <doi:10.4319/lom.2014.12.351>. Details in Beck et al. (2024) <doi:10.1002/lom3.10620>.">

EBASE: Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism (original) (raw)

Estimate ecosystem metabolism in a Bayesian framework for individual water quality monitoring stations with continuous dissolved oxygen time series. A mass balance equation is used that provides estimates of parameters for gross primary production, respiration, and gas exchange. Methods adapted from Grace et al. (2015) <doi:10.1002/lom3.10011> and Wanninkhof (2014) <doi:10.4319/lom.2014.12.351>. Details in Beck et al. (2024) <doi:10.1002/lom3.10620>.

Version: 1.1.0
Depends: R (≥ 3.5)
Imports: doParallel, dplyr, foreach, ggplot2 (≥ 3.4.0), lubridate, R2jags (≥ 0.6.1), rjags (≥ 4.10), tidyr, truncnorm, zoo
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, covr
Published: 2024-09-25
DOI: 10.32614/CRAN.package.EBASE
Author: Marcus Beck ORCID iD [aut, cre], Maria Herrmann [aut], Jill Arriola ORCID iD [aut], Raymond Najjar ORCID iD [aut]
Maintainer: Marcus Beck
BugReports: https://github.com/fawda123/EBASE/issues
License: CC0
URL: https://fawda123.github.io/EBASE/,https://github.com/fawda123/EBASE/
NeedsCompilation: no
SystemRequirements: JAGS 4.x.y (https://mcmc-jags.sourceforge.net)
Materials: README, NEWS
CRAN checks: EBASE results

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