Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism R package EBASE version 1.1.0 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>. Software 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 Marcus Beck <mbeck@tbep.org> Comprehensive R Archive Network (CRAN) Marcus Beck [aut, cre] (ORCID: <https://orcid.org/0000-0002-4996-0059>), Maria Herrmann [aut], Jill Arriola [aut] (ORCID: <https://orcid.org/0000-0003-2173-8349>), Raymond Najjar [aut] (ORCID: <https://orcid.org/0000-0002-2960-5965>) CC0 2024-09-25 application/tgz https://CRAN.R-project.org/package=EBASE doi:10.32614/CRAN.package.EBASE