als_start_vals

Builds a <code>start_vals</code> list for <code>ame</code> or <code>lame</code>
from an ALS point estimate. This is useful when the ALS fit has already found
a good latent-space solution and the MCMC chain should start near that
solution rather than from diffuse random values.

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

als_start_vals function

<dl><dt>fit</dt>
<dd>a fitted <code>ame_als</code>, <code>lame_als</code>, or
dynamic ALS object returned by <code>lame</code> with
<code>method = "als"</code>.</dd>
<dt>jitter</dt>
<dd>non-negative standard deviation for independent Gaussian
perturbations added to numeric starting values. Use a small positive value
for multiple MCMC chains.</dd>
<dt>seed</dt>
<dd>optional integer seed used for the jitter.</dd></dl>

Arguments

Convert an ALS fit to MCMC starting values — als_start_vals

<dl>

<dt>fit</dt>
<dd>a fitted <code>ame_als</code>, <code>lame_als</code>, or
dynamic ALS object returned by <code>lame</code> with
<code>method = "als"</code>.</dd>


<dt>jitter</dt>
<dd>non-negative standard deviation for independent Gaussian
perturbations added to numeric starting values. Use a small positive value
for multiple MCMC chains.</dd>


<dt>seed</dt>
<dd>optional integer seed used for the jitter.</dd>

</dl>

als_start_vals: Convert an ALS fit to MCMC starting values

Description

Usage

Value

Arguments