get_design_rep

Create design array for replicate data

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

get_design_rep function

<dl><dt>Y</dt>
<dd>dependent variable in array format</dd>
<dt>Xdyad</dt>
<dd>dyadic covariates in array format</dd>
<dt>Xrow</dt>
<dd>sender covariates in array format</dd>
<dt>Xcol</dt>
<dd>receiver covariates in array format</dd>
<dt>actorSet</dt>
<dd>vector of actors</dd>
<dt>intercept</dt>
<dd>logical indicating whether to include intercept</dd>
<dt>n</dt>
<dd>number of actors</dd>
<dt>N</dt>
<dd>number of replicates</dd>
<dt>pr</dt>
<dd>number of receiver covariates</dd>
<dt>pc</dt>
<dd>number of sender covariates</dd>
<dt>pd</dt>
<dd>number of dyadic covariates</dd></dl>

Arguments

Author

Create design array for replicate data — get_design_rep

<dl>

<dt>Y</dt>
<dd>dependent variable in array format</dd>


<dt>Xdyad</dt>
<dd>dyadic covariates in array format</dd>


<dt>Xrow</dt>
<dd>sender covariates in array format</dd>


<dt>Xcol</dt>
<dd>receiver covariates in array format</dd>


<dt>actorSet</dt>
<dd>vector of actors</dd>


<dt>intercept</dt>
<dd>logical indicating whether to include intercept</dd>


<dt>n</dt>
<dd>number of actors</dd>


<dt>N</dt>
<dd>number of replicates</dd>


<dt>pr</dt>
<dd>number of receiver covariates</dd>


<dt>pc</dt>
<dd>number of sender covariates</dd>


<dt>pd</dt>
<dd>number of dyadic covariates</dd>

</dl>

get_design_rep: Create design array for replicate data

Description

Usage

Value

Arguments

Author