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EBASE: Estuarine Bayesian Single-Station Estimation Method for
Ecosystem Metabolism
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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
dplyr, foreach, ggplot2 (≥ 3.4.0), lubridate, R2jags (≥
0.6.1), rjags (≥ 4.10), tidyr, truncnorm, zoo |
| Suggests: |
testthat (≥ 3.0.0), doParallel, knitr, rmarkdown, covr |
| Published: |
2024-03-22 |
| Author: |
Marcus Beck  [aut,
cre],
Maria Herrmann [aut],
Jill Arriola
[aut],
Raymond Najjar
[aut] |
| Maintainer: |
Marcus Beck <mbeck at tbep.org> |
| 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 |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=EBASE
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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