bayesnecfit of models fitted with the brms packageR/bayesnecfit-class.R
bayesnecfit-class.RdModels fitted with the bayesnec
package are represented as a bayesnecfit object, which contain the
original brmsfit fitted object, list of initialisation
values used, the validated bayesnecformula, name of non-linear
model that was fitted, posterior predictions, posterior parameter estimates
and a series of other statistics.
See methods(class = "bayesnecfit") for an overview of
available methods.
fitThe fitted Bayesian model of class brmsfit.
modelA character string indicating the name of
the fitted model.
initA list containing the initialisation values
for to fit the model.
bayesnecformulaAn object of class bayesnecformula and
formula.
pred_valsA list containing a
data.frame of summary posterior predicted values
and a vector containing based on the supplied precision and
x_range.
topThe estimate for parameter "top" in the fitted model.
betaThe estimate for parameter "beta" in the fitted model.
necThe estimated NEC.
fThe estimate for parameter "f" in the fitted model, NA if absent for the fitted model type.
botThe estimate for parameter "bot" in the fitted model, NA if absent for the fitted model type.
dThe estimate for parameter "d" in the fitted model, NA if absent for the fitted model type.
slopeThe estimate for parameter "slope" in the fitted model, NA if absent for the fitted model type.
ec50The estimate for parameter "ec50" in the fitted model, NA if absent for the fitted model type.
dispersionAn estimate of dispersion.
predicted_yThe predicted values for the observed data.
residualsResidual values of the observed data from the fitted model.
nec_posteriorA full posterior estimate of the NEC.