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amen

Additive and Multiplicative Effects Models for Networks and Relational Data

Installation

About

Analysis of dyadic network and relational data using additive and multiplicative effects (AME) models. The basic model includes regression terms, the covariance structure of the social relations model (Warner, Kenny and Stoto (1979) doi:10.1037/0022-3514.37.10.1742, Wong (1982) doi:10.2307/2287296), and multiplicative factor models (Hoff(2009) doi:10.1007/s10588-008-9040-4). Several different link functions accommodate different relational data structures, including binary/network data, normal relational data, zero-inflated positive outcomes using a tobit model, ordinal relational data and data from fixed-rank nomination schemes. Several of these link functions are discussed in Hoff, Fosdick, Volfovsky and Stovel (2013) doi:10.1017/nws.2013.17. Development of this software was supported in part by NIH grant R01HD067509.

github.com/pdhoff/amen
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Key Metrics

Version 1.4.5
R ≥ 3.5.0
Published 2024-02-20 65 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Peter Hoff

peter.hoff@duke.edu

Authors

Peter Hoff

aut / cre

Bailey Fosdick

aut

Alex Volfovsky

aut

Yanjun He

ctb

Material

Reference manual
Package source

Vignettes

Modeling a binary network outcome
DIY overdispersed Poisson network model
DIY modeling of a binary network outcome

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

amen archive

Depends

R ≥ 3.5.0

Suggests

coda
network
knitr
rmarkdown

Reverse Enhances

srm