.reorder_newdata_actors

Reorders the rows and columns of each <code>n x m x p</code> slice by their
dimnames so they line up with the fit's stored (sorted) additive /
multiplicative effects. Only acts when <code>newdata</code> carries dimnames whose
name set exactly matches the fit's; otherwise it falls back to the supplied
positional order unchanged (the historical behaviour, correct when the user
already passes actors in the fit's order or supplies no names).

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

.reorder_newdata_actors function

<dl><dt>X</dt>
<dd>an <code>n x m x p</code> array (already promoted from a matrix).</dd>
<dt>row_order, col_order</dt>
<dd>canonical actor names from
<code>.fit_actor_order</code>.</dd></dl>

Arguments

Realign a newdata covariate array to the fit's internal actor order — .reorder_newdata_actors

<dl>

<dt>X</dt>
<dd>an <code>n x m x p</code> array (already promoted from a matrix).</dd>


<dt>row_order, col_order</dt>
<dd>canonical actor names from
<code>.fit_actor_order</code>.</dd>

</dl>

.reorder_newdata_actors: Realign a newdata covariate array to the fit's internal actor order

Description

Usage

Value

Arguments