R: Validate method for 'beeSurvFit' objects

validate.beeSurvFit {BeeGUTS}

R Documentation

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 class 'beeSurvFit'
validate(object, dataValidate, ...)

Arguments

`object`	An object of class `beeSurvFit`
`dataValidate`	Data to validate in the format of the experimental data used for fit (dataGUTS)
`...`	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_value = FALSE` the background mortality `hb` is taken into account from the posterior. If `FALSE`, parameter `hb` is set to a fixed value. The default is `FALSE`. `hb_valueFORCED = 0` hb_valueFORCED If `hb_value` is `FALSE`, it fix `hb`. The default is `0`

Value

A beeSurvValidation object with the results of the validation

Examples


data(betacyfluthrinChronic)
data(fitBetacyfluthrin_Chronic)
validation <- validate(fitBetacyfluthrin_Chronic, betacyfluthrinChronic)