CRAN

tnam 1.6.5

Temporal Network Autocorrelation Models (TNAM)

Released Apr 1, 2017 by Philip Leifeld

This package cannot yet be used with Renjin it depends on other packages which are not available: xergm.common 1.7.7

Dependencies

xergm.common 1.7.7 sna 2.4 network 1.13.0.1 vegan 2.5-2 Rcpp lme4 1.1-18-1 igraph 1.2.2

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) ; Hays, Kachi and Franzese (2010) ; Leenders, Roger Th. A. J. (2002) .

Source

R
C++

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