residuals.ame

Computes residuals as the difference between observed values and fitted
values. For <code>type = "response"</code>, returns <code>Y - fitted(object)</code>.
For <code>type = "pearson"</code>, returns response residuals scaled by the
standard deviation implied by the family (e.g., <code>sqrt(p*(1-p))</code> for
binary).

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

residuals.ame function

<dl><dt>object</dt>
<dd>Fitted AME model object (class "ame").</dd>
<dt>type</dt>
<dd>Character; <code>"response"</code> (default) for raw residuals or
<code>"pearson"</code> for standardized residuals.</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd></dl>

Arguments

Cassy Dorff, Shahryar Minhas, Tosin Salau

Author

Extract residuals from AME model — residuals.ame

<dl>

<dt>object</dt>
<dd>Fitted AME model object (class "ame").</dd>


<dt>type</dt>
<dd>Character; <code>"response"</code> (default) for raw residuals or
<code>"pearson"</code> for standardized residuals.</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>

</dl>

residuals.ame: Extract residuals from AME model

Description

Usage

Value

Arguments

Author

See Also