calc_entropy

The function calculates Shannon's Entropy. The function is
meant for internal use only. To calculate the entropy for each action in the 
design, please use the wrapper function <code>calculate_entropy</code>

When people make decisions, they may do so using a wide variety of decision rules. The package allows users to easily create obfuscation games to test the obfuscation hypothesis. It provides an easy to use interface and multiple options designed to vary the difficulty of the game and tailor it to the user's needs. For more detail: Chorus et al., 2021, Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence, Mathematical Social Sciences, 109, 28-44, <doi:10.1016/j.mathsocsci.2020.10.002>.

Erlend Dancke Sandorf

obfuscatoR

Obfuscation Game Designs

Caspar Chorus

Sander van Cranenburgh

calc_entropy function

<dl><dt>design</dt>
<dd>A matrix with rows equal to the number of rules and columns
equal to the number of actions or a list of such matrices.</dd>
<dt>priors</dt>
<dd>A vector of prior values. If the design is a list of matrices,
priors can be a matrix with rows equal to the length of the design and columns
equal to the number of rules.</dd></dl>

Arguments

Calculate Shannon's Entropy — calc_entropy

<dl>

<dt>design</dt>
<dd>A matrix with rows equal to the number of rules and columns
equal to the number of actions or a list of such matrices.</dd>


<dt>priors</dt>
<dd>A vector of prior values. If the design is a list of matrices,
priors can be a matrix with rows equal to the length of the design and columns
equal to the number of rules.</dd>

</dl>

calc_entropy: Calculate Shannon's Entropy

Description

Usage

Value

Arguments