add_noise

Utility function to add some small positive noise to weights.
This is mainly done to randomly choose between solutions
of equal weight. Without adding noise to weights lp solvers may return
an identical solution over and over while there are multiple solutions of equal weight.
The generated noise is positive to prevent that weights will be zero or negative.

Errors in data can be located and removed using validation rules from package
'validate'. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>,
chapter 7.

Edwin Jonge

errorlocate

Locate Errors with Validation Rules

Edwin de Jonge

Mark van der Loo

add_noise function

<dl><dt>x</dt>
<dd><code>numeric</code> vector or matrix. When <code>x</code> is a matrix, the function
will be applied to each row of the matrix.</dd>
<dt>max_delta</dt>
<dd>when supplied noise will be drawn from <code>[0,max_delta]</code>
otherwise see details</dd>
<dt>...</dt>
<dd>currently not used</dd></dl>

Arguments

Add (a small amount of) noise — add_noise

<dl>

<dt>x</dt>
<dd><code>numeric</code> vector or matrix. When <code>x</code> is a matrix, the function
will be applied to each row of the matrix.</dd>


<dt>max_delta</dt>
<dd>when supplied noise will be drawn from <code>[0,max_delta]</code>
otherwise see details</dd>


<dt>...</dt>
<dd>currently not used</dd>

</dl>

add_noise: Add (a small amount of) noise

Description

Usage

Value

Arguments

Details