nec_data

A simulated dataset containing a series of response
measurements as a function of a concentration axis.
Data simulated by Diego Barneche.

Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi: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)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this package can be found in Fisher 'et al.' (2024)<doi: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)<doi:10.5281/ZENODO.3966864>).

Rebecca Fisher

bayesnec

A Bayesian No-Effect- Concentration (NEC) Algorithm

Diego R. Barneche

Gerard F. Ricardo

David R. Fox

nec_data function

A data frame with 100 rows and 2 variables:<ul>
<li>x: Concentration (predictor) axis.</li>
<li>y: Response.</li>
</ul>

nec_data: Example data of non-linear decay

Description

Arguments

Format