rUV_dynamic_bip_fc_cpp

Replaces the nested R loops for bipartite dynamic_uv in lame.R.
Uses direct 2x2 inverse formula for common R=2 case.

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

rUV_dynamic_bip_fc_cpp function

<dl><dt>U_cube</dt>
<dd>3D array (nA x RA x T)</dd>
<dt>V_cube</dt>
<dd>3D array (nB x RB x T)</dd>
<dt>E</dt>
<dd>3D array of residuals (nA x nB x T)</dd>
<dt>G</dt>
<dd>Interaction matrix (RA x RB)</dd>
<dt>rho_uv</dt>
<dd>AR(1) persistence parameter</dd>
<dt>sigma_uv</dt>
<dd>Innovation standard deviation</dd>
<dt>s2</dt>
<dd>Dyadic variance</dd></dl>

Arguments

Bipartite dynamic UV Gibbs update — rUV_dynamic_bip_fc_cpp

<dl>

<dt>U_cube</dt>
<dd>3D array (nA x RA x T)</dd>


<dt>V_cube</dt>
<dd>3D array (nB x RB x T)</dd>


<dt>E</dt>
<dd>3D array of residuals (nA x nB x T)</dd>


<dt>G</dt>
<dd>Interaction matrix (RA x RB)</dd>


<dt>rho_uv</dt>
<dd>AR(1) persistence parameter</dd>


<dt>sigma_uv</dt>
<dd>Innovation standard deviation</dd>


<dt>s2</dt>
<dd>Dyadic variance</dd>

</dl>

rUV_dynamic_bip_fc_cpp: Bipartite dynamic UV Gibbs update

Description

Usage

Value

Arguments