update.bnecfit {bayesnec}  R Documentation 
bnecfit
as fitted by function
bnec
.Update an object of class bnecfit
as fitted by function
bnec
.
## S3 method for class 'bnecfit' update( object, newdata = NULL, recompile = NULL, x_range = NA, precision = 1000, sig_val = 0.01, loo_controls, force_fit = FALSE, ... )
object 

newdata 
Optional 
recompile 
A 
x_range 
A range of predictor values over which to consider extracting ECx. 
precision 
The length of the predictor vector used for posterior predictions, and over which to extract ECx values. Large values will be slower but more precise. 
sig_val 
Probability value to use as the lower quantile to test significance of the predicted posterior values against the lowest observed concentration (assumed to be the control), to estimate NEC as an interpolated NOEC value from smooth ECx curves. 
loo_controls 
A named 
force_fit 
Should model truly be updated in case either

... 
Further arguments to 
An object of class bnecfit
. If one single model is
returned, then also an object of class bayesnecfit
; otherwise,
if multiple models are returned, also an object of class
bayesmanecfit
.
library(bayesnec) data(manec_example) # due to package size issues, `manec_example` does not contain original # stanfit DSO, so need to recompile here smaller_manec < update(manec_example, chains = 1, iter = 50, recompile = TRUE) # original `manec_example` is fit with a Gaussian # change to Beta distribution by adding newdata with original `nec_data$y` # function will throw informative message. beta_manec < update(manec_example, newdata = nec_data, recompile = TRUE, chains = 1, iter = 50, family = Beta(link = "identity"), force_fit = TRUE)