bayesmanecfit-class | R Documentation |
bayesmanecfit
of models fitted with the brms packageMultiple models fitted with the
bayesnec
package are
represented as a bayesmanecfit
object, which contains the original
brmsfit
fitted objects, names of non-linear models that
were fitted, model averaging WAIC stats, sample size, mean posterior
no-effect toxicity values (NEC, NSEC or N(S)EC), mean model averaged
predictions on the data scale, model averaged residuals, full posterior
distribution of predicated values, and summary statistics of no-effect
toxicity.
See methods(class = "bayesmanecfit")
for an overview of
available methods.
mod_fits
A list
of fitted model outputs of class
prebayesnecfit
for each of the fitted models.
success_models
A character
vector indicating the
name of the successfully fitted models.
mod_stats
A data.frame
of model fit statistics.
sample_size
The size of the posterior sample. Information on the priors used in the model.
w_ne_posterior
The model-weighted posterior estimate of the no-effect toxicity estimate.
w_predicted_y
The model-weighted predicted values for the observed data.
w_residuals
Model-weighted residual values (i.e. observed - w_predicted_y).
w_pred_vals
A list
containing model-weighted
posterior predicted values based on the supplied resolution
and
x_range
.
w_ne
The summary stats (median and 95% credibility intervals) of w_ne_posterior.
ne_type
A character
vector indicating the type of
no-effect toxicity estimate. Where the fitted model(s) are NEC models
(threshold models, containing a step function) the no-effect estimate is
a true no-effect-concentration (NEC
, see Fox 2010). Where the fitted
model(s) are
smooth ECx models with no step function, the no-effect estimate is a
no-significant-effect-concentration (NSEC
, see Fisher and Fox 2023).
In the
case of a bayesmanecfit
that contains a mixture of both NEC and
ECx models, the no-effect estimate is a model averaged combination of the NEC
and NSEC estimates, and is reported as the N(S)EC
(see Fisher et al. 2023).
Fisher R, Fox DR (2023). Introducing the no significant effect concentration (NSEC).Environmental Toxicology and Chemistry, 42(9), 2019–2028. doi: 10.1002/etc.5610.
Fisher R, Fox DR, Negri AP, van Dam J, Flores F, Koppel D (2023). Methods for estimating no-effect toxicity concentrations in ecotoxicology. Integrated Environmental Assessment and Management. doi:10.1002/ieam.4809.
Fox DR (2010). A Bayesian Approach for Determining the No Effect Concentration and Hazardous Concentration in Ecotoxicology. Ecotoxicology and Environmental Safety, 73(2), 123–131. doi: 10.1016/j.ecoenv.2009.09.012.
bayesnec
,
bnec
,
bayesnecfit
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.