find_matrix_divisors

Find divisors for a matrix with alternate scaling

internal

Calculate seat apportionment for legislative bodies with
various methods. The algorithms include divisor or highest averages methods
(e.g. Jefferson, Webster or Adams), largest remainder methods and
biproportional apportionment.
Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004>
Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.

Flavio Poletti

proporz

Proportional Apportionment

find_matrix_divisors function

<dl><dt>M</dt>
<dd>votes_matrix</dd>
<dt>seats_cols</dt>
<dd>Target seats for each column</dd>
<dt>seats_rows</dt>
<dd>Target seats for each row</dd>
<dt>round_func</dt>
<dd>Rounding function. Called like
<code>round_func(M/row_divisors/col_divisors)</code>, divisors are applied row/col-wise with
<code>divide_votes_matrix()</code>.</dd></dl>

Arguments

Find divisors for a matrix with alternate scaling — find_matrix_divisors

<dl>

<dt>M</dt>
<dd>votes_matrix</dd>


<dt>seats_cols</dt>
<dd>Target seats for each column</dd>


<dt>seats_rows</dt>
<dd>Target seats for each row</dd>


<dt>round_func</dt>
<dd>Rounding function. Called like
<code>round_func(M/row_divisors/col_divisors)</code>, divisors are applied row/col-wise with
<code>divide_votes_matrix()</code>.</dd>

</dl>

find_matrix_divisors: Find divisors for a matrix with alternate scaling

Description

Usage

Value

Arguments