calculate_threshold_probs

For each policy alternative, this function calculates the
probability that the peak (or minimum) value exceeds (or is below)
a specified threshold(s) using a Riemann sum approach.

A suite of tools to help modelers and decision-makers effectively
interpret and communicate decision risk when evaluating multiple policy options.
It uses model outputs from uncertainty analysis for baseline scenarios and policy
alternatives to generate visual representations of uncertainty and quantitative
measures for assessing associated risks. For more details see
Wiggins and colleagues (2025) <doi:10.1371/journal.pone.0332522> and <https://dut.ihe.ca/>.

Megan Wiggins

DUToolkit

Visualizing and Quantifying Decision Uncertainty

Marie Betsy Varughese

Ellen Rafferty

Sasha van Katwyk

Christopher McCabe

Jeff Round

Erin Kirwin

Institute of Health Economics 

Canadian Network for Modelling Infectious Diseases  

calculate_threshold_probs function

<dl><dt>max_min_values_list</dt>
<dd>A list generated by <code>get_max_min_values()</code></dd>
<dt>Dp</dt>
<dd>A vector of threshold values to calculate the probabilities for.</dd>
<dt>Dt_max</dt>
<dd>A logical value indicating whether the decision threshold
is a maximum (<code>TRUE</code>) or a minimum (<code>FALSE</code>). The default is <code>TRUE</code>.</dd></dl>

Arguments

Calculate threshold exceedance probabilities — calculate_threshold_probs

<dl>

<dt>max_min_values_list</dt>
<dd>A list generated by <code>get_max_min_values()</code></dd>


<dt>Dp</dt>
<dd>A vector of threshold values to calculate the probabilities for.</dd>


<dt>Dt_max</dt>
<dd>A logical value indicating whether the decision threshold
is a maximum (<code>TRUE</code>) or a minimum (<code>FALSE</code>). The default is <code>TRUE</code>.</dd>

</dl>

Calculate threshold exceedance probabilities

calculate_threshold_probs: Calculate threshold exceedance probabilities

Description

Usage

Value

Arguments

Examples