validate: Validation method for 'beeSurvFit ' objects

In BeeGUTS: General Unified Threshold Model of Survival for Bees using Bayesian Inference

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.

BeeGUTS documentation built on Oct. 30, 2024, 9:14 a.m.