amen: Additive and Multiplicative Effects Models for Networks and Relational Data

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.

Version: 1.4.4
Depends: R (≥ 3.5.0)
Suggests: coda, network, knitr, rmarkdown
Published: 2020-12-16
Author: Peter Hoff [aut, cre], Bailey Fosdick [aut], Alex Volfovsky [aut], Yanjun He [ctb]
Maintainer: Peter Hoff <peter.hoff at duke.edu>
BugReports: https://github.com/pdhoff/amen/issues
License: GPL-3
URL: https://github.com/pdhoff/amen
NeedsCompilation: no
Materials: README NEWS
CRAN checks: amen results

Downloads:

Reference manual: amen.pdf
Vignettes: Modeling a binary network outcome
DIY overdispersed Poisson network model
DIY modeling of a binary network outcome
Package source: amen_1.4.4.tar.gz
Windows binaries: r-devel: amen_1.4.4.zip, r-release: amen_1.4.4.zip, r-oldrel: amen_1.4.4.zip
macOS binaries: r-release (arm64): amen_1.4.4.tgz, r-release (x86_64): amen_1.4.4.tgz, r-oldrel: amen_1.4.4.tgz
Old sources: amen archive

Reverse dependencies:

Reverse enhances: srm

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