validate

This is a <code>validation</code> method for the
<code>beeSurvFit</code> object. It perform forwards predictions for a specific concentration
profile and compare these prediction to the respective experimental data.

Tools to calibrate, validate, and make predictions with the
General Unified Threshold model of Survival adapted for Bee species. The
model is presented in the publication from Baas, J., Goussen, B., Miles, M.,
Preuss, T.G., Roessing, I. (2022) <doi:10.1002/etc.5423> and
Baas, J., Goussen, B., Taenzler, V., Roeben, V., Miles, M., Preuss, T.G.,
van den Berg, S., Roessink, I. (2024) <doi:10.1002/etc.5871>, and is based on the
GUTS framework Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011)
<doi:10.1021/es103092a>.
The authors are grateful to Bayer A.G. for its financial support.

Romoli Carlo

BeeGUTS

General Unified Threshold Model of Survival for Bees using
Bayesian Inference

Benoit Goussen

Liubov Zakharova

Carlo Romoli

Bayer AG 

ibacon GmbH 

validate function

<dl><dt>object</dt>
<dd>An object of class <code>beeSurvFit</code></dd>
<dt>dataValidate</dt>
<dd>Data to validate in the format of the experimental data used for fit (dataGUTS)</dd>
<dt>fithb</dt>
<dd>Logical argument. If <code>TRUE</code>, control data of the validation experiment are
fitted to estimate the value of the background mortality rate. If <code>FALSE</code>,
background mortality can be fixed with the optional argument <code>hb_valueFORCED</code></dd>
<dt>...</dt>
<dd>Additional arguments to be parsed to the <code>predict.survFit</code> method from <code>odeGUTS</code> (e.g.
<code>mcmc_size = 1000</code> is to be used to reduce the number of mcmc samples in order to speed up
the computation. <code>mcmc_size</code> is the number of selected iterations for one chain. Default
is 1000. If all MCMC is wanted, set argument to <code>NULL</code>.,
<code>hb_valueFORCED = 0</code> hb_valueFORCED If <code>fithb</code> is <code>FALSE</code>, it fix <code>hb</code>. The default is <code>0</code></dd></dl>

Arguments

Validation method for beeSurvFit  objects — validate

<dl>

<dt>object</dt>
<dd>An object of class <code>beeSurvFit</code></dd>


<dt>dataValidate</dt>
<dd>Data to validate in the format of the experimental data used for fit (dataGUTS)</dd>


<dt>fithb</dt>
<dd>Logical argument. If <code>TRUE</code>, control data of the validation experiment are
fitted to estimate the value of the background mortality rate. If <code>FALSE</code>,
background mortality can be fixed with the optional argument <code>hb_valueFORCED</code></dd>


<dt>...</dt>
<dd>Additional arguments to be parsed to the <code>predict.survFit</code> method from <code>odeGUTS</code> (e.g.
<code>mcmc_size = 1000</code> is to be used to reduce the number of mcmc samples in order to speed up
the computation. <code>mcmc_size</code> is the number of selected iterations for one chain. Default
is 1000. If all MCMC is wanted, set argument to <code>NULL</code>.,
<code>hb_valueFORCED = 0</code> hb_valueFORCED If <code>fithb</code> is <code>FALSE</code>, it fix <code>hb</code>. The default is <code>0</code></dd>

</dl>

validate: Validation method for `beeSurvFit` objects

Description

Usage

Value

Arguments