BeeGUTS (version 1.5.0)

validate.beeSurvFit: Validate method for beeSurvFit objects

Description

This is the generic validate S3 method for the beeSurvFit class. It predict the survival over time for the concentration profiles entered by the user.

Usage

# S3 method for beeSurvFit
validate(object, dataValidate, fithb = FALSE, ...)

Value

A beeSurvValidation object with the results of the validation

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

Examples

# \donttest{
data(betacyfluthrinChronic)
data(fitBetacyfluthrin_Chronic)
validation <- validate(fitBetacyfluthrin_Chronic, betacyfluthrinChronic)
# }