swMATH ID: 24997
Software Authors: Leifeld, Philip; Cranmer, Skyler J.
Description: R package tnam: Temporal Network Autocorrelation Models (TNAM). Temporal and cross-sectional network autocorrelation models. These are models for variation in attributes of nodes nested in a network (e.g., drinking behavior of adolescents nested in a school class, or democracy versus autocracy of countries nested in the network of international relations). These models can be estimated for cross-sectional data or panel data, with complex network dependencies as predictors, multiple networks and covariates, arbitrary outcome distributions, and random effects or time trends. Basic references: Doreian, Teuter and Wang (1984) <doi:10.1177/0049124184013002001>; Hays, Kachi and Franzese (2010) <doi:10.1016/j.stamet.2009.11.005>; Leenders, Roger Th. A. J. (2002) <doi:10.1016/S0378-8733(01)00049-1>.
Homepage: https://cran.r-project.org/web/packages/tnam/index.html
Source Code:  https://github.com/cran/tnam
Dependencies: R
Related Software: tergm; R; gergm; ergm; gimme; sparsevar; nets; autovarCore; networkTomography; NetOrigin; hybridModels; EpiILMCT; EpiILM; latentnet; HLSM; collpcm; igraph; GNAR; forecast; fields
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