bayesnec
A Bayesian No-Effect- Concentration (NEC) Algorithm
Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)[https://doi.org/10.18637/jss.v080.i01]; Burkner (2018)[https://doi.org/10.32614/RJ-2018-017]; Carpenter 'et al.' (2017)[https://doi.org/10.18637/jss.v076.i01] to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)[https://doi.org/10.1016/j.ecoenv.2009.09.012]), 'NSEC' (see Fisher and Fox (2023)[https://doi.org/10.1002/etc.5610]), and 'N(S)EC (see Fisher et al. 2023[https://doi.org/10.1002/ieam.4809]). A full description of this package can be found in Fisher 'et al.' (2024)[https://doi.org/10.18637/jss.v110.i05]. This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020)[https://CRAN.R-project.org/package=R2jags]; Fisher et al. (2020)[https://doi.org/10.5281/ZENODO.3966864]).
- Version2.1.3.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- bayesnec citation info
- Last release08/19/2024
Documentation
Team
Rebecca Fisher
Diego R. Barneche
Gerard F. Ricardo
David R. Fox
Insights
Last 30 days
This package has been downloaded 432 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.
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Last 365 days
This package has been downloaded 5,474 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jul 21, 2024 with 133 downloads.
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Data provided by CRAN
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Dependencies
- Depends2 packages
- Imports10 packages
- Suggests4 packages