pos_def_limits

<code>pos_def_limits</code> returns min and max possible values for a positive definite matrix with a specified missing value

Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.

Lisa DeBruine

faux

Simulation for Factorial Designs

Anna Krystalli

Andrew Heiss

pos_def_limits function

<dl><dt>...</dt>
<dd>the correlations among the variables as a vars\*(vars-1)/2 vector</dd>
<dt>steps</dt>
<dd>the tolerance for min and max values</dd>
<dt>tol</dt>
<dd>the tolerance for comparing eigenvalues to 0</dd></dl>

Arguments

Limits on Missing Value for Positive Definite Matrix — pos_def_limits

<dl>

<dt>...</dt>
<dd>the correlations among the variables as a vars\*(vars-1)/2 vector</dd>


<dt>steps</dt>
<dd>the tolerance for min and max values</dd>


<dt>tol</dt>
<dd>the tolerance for comparing eigenvalues to 0</dd>

</dl>

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pos_def_limits: Limits on Missing Value for Positive Definite Matrix

Description

Usage

Value

Arguments

Examples