print.vars

Display the results obtained with the <code>vars_to</code> function.

It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.

Arnald Puy

sensobol

Computation of Variance-Based Sensitivity Indices

Bertrand Ioos

Gilles Pujol

RStudio 

print.vars function

<dl><dt>x</dt>
<dd>A <code>vars</code> object produced by <code>vars_to</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Display the results obtained with the vars_to function. — print.vars

<dl>

<dt>x</dt>
<dd>A <code>vars</code> object produced by <code>vars_to</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

print.vars: Display the results obtained with the `vars_to` function.

Description

Usage

Value

Arguments