bayesnecfit
of models fitted with the brms packageR/bayesnecfit-class.R
bayesnecfit-class.Rd
Models 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.
fit
The fitted Bayesian model of class brmsfit
.
model
A character
string indicating the name of
the fitted model.
init
A list
containing the initialisation values
for to fit the model.
bayesnecformula
An object of class bayesnecformula
and
formula
.
pred_vals
A list
containing a
data.frame
of summary posterior predicted values
and a vector containing based on the supplied precision
and
x_range
.
top
The estimate for parameter "top" in the fitted model.
beta
The estimate for parameter "beta" in the fitted model.
nec
The estimated NEC.
f
The estimate for parameter "f" in the fitted model, NA if absent for the fitted model type.
bot
The estimate for parameter "bot" in the fitted model, NA if absent for the fitted model type.
d
The estimate for parameter "d" in the fitted model, NA if absent for the fitted model type.
slope
The estimate for parameter "slope" in the fitted model, NA if absent for the fitted model type.
ec50
The estimate for parameter "ec50" in the fitted model, NA if absent for the fitted model type.
dispersion
An estimate of dispersion.
predicted_y
The predicted values for the observed data.
residuals
Residual values of the observed data from the fitted model.
nec_posterior
A full posterior estimate of the NEC.