log_phi_diff

Computes log of the standard-normal CDF difference. Naive
<code>log(pnorm(hi) - pnorm(lo))</code> returns <code>-Inf</code> whenever both
arguments are above ~7 or below ~-7 (catastrophic cancellation).
Uses <code>pnorm(., log.p = TRUE)</code> and a stable log-subtraction.

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

log_phi_diff function

<dl><dt>hi</dt>
<dd>numeric, upper bound</dd>
<dt>lo</dt>
<dd>numeric, lower bound (must be &lt;= hi elementwise)</dd></dl>

Arguments

Numerically stable log(Phi(hi) - Phi(lo)) — log_phi_diff

<dl>

<dt>hi</dt>
<dd>numeric, upper bound</dd>


<dt>lo</dt>
<dd>numeric, lower bound (must be &lt;= hi elementwise)</dd>

</dl>

log_phi_diff: Numerically stable log(Phi(hi) - Phi(lo))

Description

Usage

Value

Arguments