reconstruct_EZ

reconstruct_UVPM

Helper functions to recover EZ (linear predictor) and UVPM (posterior
mean of the multiplicative product) matrices. When the fit stores the
quantity (<code>UVPM</code> on asymmetric fits, <code>ULUPM</code> on symmetric
fits), the stored posterior mean is returned directly; otherwise it is
reconstructed from the saved factors.
Note: EZ returns the linear predictor ($\eta$), not the response:<ul>
<li>For Gaussian: $EZ = \eta = \mu$ (identity link)</li>
<li>For Poisson: $EZ = \eta = \log(\lambda)$ (can be negative)</li>
<li>For Binary: $EZ = \eta$ = probit inverse of p (can be any real value)
Use YPM for predictions on the response scale.</li>
</ul>

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

reconstruct_EZ function

<dl><dt>fit</dt>
<dd>Fitted AME model object</dd>
<dt>X</dt>
<dd>Covariate array (optional, will use fit$X if available)</dd></dl>

Arguments

Cassy Dorff, Shahryar Minhas, Tosin Salau

Author

Reconstruct EZ and UVPM matrices from AME model output — reconstruct_EZ

<dl>

<dt>fit</dt>
<dd>Fitted AME model object</dd>


<dt>X</dt>
<dd>Covariate array (optional, will use fit$X if available)</dd>

</dl>

reconstruct_EZ: Reconstruct EZ and UVPM matrices from AME model output

Description

Usage

Value

Arguments

Author

Details