gof_plot.ame_als

Bootstrap-style analogue of the MCMC <code>gof_plot</code>: draws
<code>nsim</code> simulated networks from the fitted ALS model, computes the
standard network statistics (<code>sd.rowmean</code>, <code>sd.colmean</code>,
<code>dyad.dep</code>, <code>cycle.dep</code>, <code>trans.dep</code> for unipartite;
<code>sd.rowmean</code>, <code>sd.colmean</code>, <code>four.cycles</code> for bipartite) on
each replicate, and overlays the observed value on a histogram of replicate
values.

Additive and multiplicative effects models for both cross-sectional and longitudinal network analysis. The package provides two main functions: ame() for cross-sectional networks and lame() for longitudinal networks. It supports square and rectangular network structures. Key features include: (1) Cross-sectional network analysis via ame() with support for binary, continuous, ordinal, and count data; (2) Longitudinal network analysis via lame() with additive sender/receiver and multiplicative latent-factor effects that can evolve over time through AR(1) processes (Sewell and Chen (2015) <doi:10.1080/01621459.2014.988214>; Durante and Dunson (2014) <doi:10.1093/biomet/asu040>); (3) Handling of changing actor compositions across time periods in longitudinal models; (4) Performance improvements through C++ implementations via 'Rcpp' and 'RcppArmadillo'.

Shahryar Minhas

lame

Longitudinal Additive and Multiplicative Effects Models for
Networks

Cassy Dorff

Tosin Salau

gof_plot.ame_als function

<dl><dt>fit</dt>
<dd>an <code>ame_als</code> fit.</dd>
<dt>nsim</dt>
<dd>integer; number of replicates (default 100).</dd>
<dt>seed</dt>
<dd>optional RNG seed.</dd>
<dt>...</dt>
<dd>reserved.</dd></dl>

Arguments

Goodness-of-fit check for an ame_als fit — gof_plot.ame_als

<dl>

<dt>fit</dt>
<dd>an <code>ame_als</code> fit.</dd>


<dt>nsim</dt>
<dd>integer; number of replicates (default 100).</dd>


<dt>seed</dt>
<dd>optional RNG seed.</dd>


<dt>...</dt>
<dd>reserved.</dd>

</dl>

gof_plot.ame_als: Goodness-of-fit check for an ame_als fit

Description

Usage

Value

Arguments

Details