validate {BeeGUTS} | R Documentation |
Validation method for beeSurvFit
objects
Description
This is a validation
method for the
beeSurvFit
object. It perform forwards predictions for a specific concentration
profile and compare these prediction to the respective experimental data.
Usage
validate(object, dataValidate, fithb = FALSE, ...)
Arguments
object |
An object of class beeSurvFit
|
dataValidate |
Data to validate in the format of the experimental data used for fit (dataGUTS)
|
fithb |
Logical argument. If TRUE , control data of the validation experiment are
fitted to estimate the value of the background mortality rate. If FALSE ,
background mortality can be fixed with the optional argument hb_valueFORCED
|
... |
Additional arguments to be parsed to the predict.survFit method from odeGUTS (e.g.
mcmc_size = 1000 is to be used to reduce the number of mcmc samples in order to speed up
the computation. mcmc_size is the number of selected iterations for one chain. Default
is 1000. If all MCMC is wanted, set argument to NULL .,
hb_valueFORCED = 0 hb_valueFORCED If fithb is FALSE , it fix hb . The default is 0
|
Value
An object of class beeSurvValidation
.
[Package
BeeGUTS version 1.3.0
Index]