find_critical_value

This function finds the smallest x such that the probability of a random variable
being less than or equal to x is greater than or equal to 1 - alpha.
It uses the uniroot function to find where the empirical cumulative distribution function (ECDF)
crosses 1 - alpha.

Analysis functions to quantify inputs importance in neural network models.
Functions are available for calculating and plotting the inputs importance and obtaining
the activation function of each neuron layer and its derivatives. The importance of a given
input is defined as the distribution of the derivatives of the output with respect to that
input in each training data point <doi:10.18637/jss.v102.i07>.

Jaime Pizarroso Gonzalo

NeuralSens

Sensitivity Analysis of Neural Networks

José Portela González

Antonio Muñoz San Roque

find_critical_value function

<dl><dt>ecdf_func</dt>
<dd>An ECDF function representing the distribution of a random variable.</dd>
<dt>alpha</dt>
<dd>A numeric value specifying the significance level.</dd></dl>

Arguments

Find Critical Value — find_critical_value

<dl>

<dt>ecdf_func</dt>
<dd>An ECDF function representing the distribution of a random variable.</dd>


<dt>alpha</dt>
<dd>A numeric value specifying the significance level.</dd>

</dl>

find_critical_value: Find Critical Value

Description

Usage

Value

Arguments

Examples