rnet.SmWorld

Call <code><a href="/link/igraph%3A%3Asample_smallworld?package=simcausal&version=0.5.7" data-mini-rdoc="simcausal::igraph::sample_smallworld">igraph::sample_smallworld</a></code> and convert the output to <code>simcausal</code> network matrix.
The parameters are the same as those of <code><a href="/link/igraph%3A%3Asample_smallworld?package=simcausal&version=0.5.7" data-mini-rdoc="simcausal::igraph::sample_smallworld">igraph::sample_smallworld</a></code>.
The loop edges aren't allowed (<code>loops = FALSE</code>) and the multiple edges aren't allowed either <code>multiple = FALSE</code>.

A flexible tool for simulating complex longitudinal data using
structural equations, with emphasis on problems in causal inference.
Specify interventions and simulate from intervened data generating
distributions. Define and evaluate treatment-specific means, the average
treatment effects and coefficients from working marginal structural models.
User interface designed to facilitate the conduct of transparent and
reproducible simulation studies, and allows concise expression of complex
functional dependencies for a large number of time-varying nodes. See the
package vignette for more information, documentation and examples.

Fred Gruber

simcausal

Simulating Longitudinal Data with Causal Inference Applications

Oleg Sofrygin

Romain Neugebauer

rnet.SmWorld function

<dl><dt>n</dt>
<dd>Size of the network graph (the number of nodes).</dd>
<dt>dim</dt>
<dd>Same as in <code><a href="/link/igraph%3A%3Asample_smallworld?package=simcausal&version=0.5.7" data-mini-rdoc="simcausal::igraph::sample_smallworld">igraph::sample_smallworld</a></code>: Integer constant, the dimension of the starting lattice.</dd>
<dt>nei</dt>
<dd>Same as in <code><a href="/link/igraph%3A%3Asample_smallworld?package=simcausal&version=0.5.7" data-mini-rdoc="simcausal::igraph::sample_smallworld">igraph::sample_smallworld</a></code>: Integer constant, the neighborhood within which the vertices of the lattice will be connected.</dd>
<dt>p</dt>
<dd>Same as in <code><a href="/link/igraph%3A%3Asample_smallworld?package=simcausal&version=0.5.7" data-mini-rdoc="simcausal::igraph::sample_smallworld">igraph::sample_smallworld</a></code>: Real constant between zero and one, the rewiring probability.</dd></dl>

Arguments

Call <code><a href='https://rdrr.io/pkg/igraph/man/sample_smallworld.html'>igraph::sample_smallworld</a></code> and convert the output to <code>simcausal</code> network matrix.
The parameters are the same as those of <code><a href='https://rdrr.io/pkg/igraph/man/sample_smallworld.html'>igraph::sample_smallworld</a></code>.
The loop edges aren't allowed (<code>loops = FALSE</code>) and the multiple edges aren't allowed either <code>multiple = FALSE</code>.

Call igraph::sample_smallworld to Generate Random Graph Object from the Watts-Strogatz Small-World Model — rnet.SmWorld

<dl>

<dt>n</dt>
<dd>Size of the network graph (the number of nodes).</dd>


<dt>dim</dt>
<dd>Same as in <code><a href='https://rdrr.io/pkg/igraph/man/sample_smallworld.html'>igraph::sample_smallworld</a></code>: Integer constant, the dimension of the starting lattice.</dd>


<dt>nei</dt>
<dd>Same as in <code><a href='https://rdrr.io/pkg/igraph/man/sample_smallworld.html'>igraph::sample_smallworld</a></code>: Integer constant, the neighborhood within which the vertices of the lattice will be connected.</dd>


<dt>p</dt>
<dd>Same as in <code><a href='https://rdrr.io/pkg/igraph/man/sample_smallworld.html'>igraph::sample_smallworld</a></code>: Real constant between zero and one, the rewiring probability.</dd>

</dl>

rnet.SmWorld: Call `igraph::sample_smallworld` to Generate Random Graph Object from the Watts-Strogatz Small-World Model

Description

Usage

Value

Arguments

See Also