reexports

autoplot

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>ggplot2</dt>
<dd><code><a href="https://ggplot2.tidyverse.org/reference/autoplot.html">autoplot</a></code></dd>
</dl>

internal

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

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>ggplot2</dt>
<dd><code><a href='https://ggplot2.tidyverse.org/reference/autoplot.html'>autoplot</a></code></dd>


</dl>

reexports: Objects exported from other packages

Description

Arguments