CRAN/E | bayesnec

bayesnec

A Bayesian No-Effect- Concentration (NEC) Algorithm

Installation

About

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. 2023doi:10.1002/ieam.4809). This package expands and supersedes an original version implemented in R2jags, see Fisher, Ricardo and Fox (2020)doi:10.5281/ZENODO.3966864.

open-aims.github.io/bayesnec/
Bug report File report

Key Metrics

Version 2.1.2.0
R ≥ 4.1
Published 2024-03-28 28 days ago
Needs compilation? no
License GPL-2
CRAN checks bayesnec results

Downloads

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Maintainer

Maintainer

Rebecca Fisher

r.fisher@aims.gov.au

Authors

Rebecca Fisher

aut / cre

Diego Barneche

aut

Gerard Ricardo

aut

David Fox

aut

Material

README
NEWS
Reference manual
Package source

In Views

Pharmacokinetics

Vignettes

Single model usage
Multi model usage
Model details
Priors
Comparing posterior predictions
Running 'bayesnec'

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bayesnec archive

Depends

R ≥ 4.1
brms
ggplot2

Imports

formula.tools
loo
dplyr
tidyr
purrr
tibble
tidyselect
evaluate
rlang
chk ≥ 0.7.0

Suggests

rstan
knitr
rmarkdown
testthat ≥ 3.0.0