partial

Partial functions are useful to define marginal distributions based on
additional parameters.

Generate simulated datasets from an initial underlying
distribution and apply transformations to obtain realistic data. Implements
the 'NORTA' (Normal-to-anything) approach from Cario and Nelson (1997)
and other data generating mechanisms. Simple network visualization tools
are provided to facilitate communicating the simulation setup.

Michael Kammer

simdata

Generate Simulated Datasets

partial function

<dl><dt>f</dt>
<dd>Function in two or more parameters.</dd>
<dt>...</dt>
<dd>Parameters to be held fixed for function <code>f</code>.</dd></dl>

Arguments

Define partial function — partial

<dl>

<dt>f</dt>
<dd>Function in two or more parameters.</dd>


<dt>...</dt>
<dd>Parameters to be held fixed for function <code>f</code>.</dd>

</dl>

partial: Define partial function

Description

Usage

Value

Arguments

Details

Examples