generate_unif_continuous

Generates a simulation of voting according to a uniform law, returns voters preferences

Provide functions to generate random simulated evaluations on candidates by voters for evaluation-based elections. Functions are based on several models for continuous or discrete evaluations.

Antoine Rolland

voteSim

Generate Simulated Data for Voting Rules using Evaluations

Nathan Grimault

generate_unif_continuous function

<dl><dt>n_voters</dt>
<dd>integer, represents the number of voters in the election</dd>
<dt>n_candidates</dt>
<dd>integer, represents the number of candidates in the election</dd>
<dt>min</dt>
<dd>int, the minimum value of the range of possible scores (by default 0)</dd>
<dt>max</dt>
<dd>int, the maximum value of the range of possible scores (by default 1)</dd></dl>

Arguments

Generates a simulation of voting according to a uniform law, returns voters preferences — generate_unif_continuous

<dl>

<dt>n_voters</dt>
<dd>integer, represents the number of voters in the election</dd>


<dt>n_candidates</dt>
<dd>integer, represents the number of candidates in the election</dd>


<dt>min</dt>
<dd>int, the minimum value of the range of possible scores (by default 0)</dd>


<dt>max</dt>
<dd>int, the maximum value of the range of possible scores (by default 1)</dd>

</dl>

generate_unif_continuous: Generates a simulation of voting according to a uniform law, returns voters preferences

Description

Usage

Value

Arguments

Examples