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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.
- Version1.4.5
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release02/20/2024
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Team
Peter Hoff
Bailey Fosdick
Show author detailsRolesAuthorAlex Volfovsky
Show author detailsRolesAuthorYanjun He
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