econet: Estimation of Parameter-Dependent Network Centrality Measures

Provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both non linear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the 'econet' package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Patacchini, and Leone Sciabolazza (2020). For additional details, see the vignette.

Version: 0.1.92
Depends: R (≥ 3.5.0)
Imports: bbmle, igraph, intergraph, Matrix, MASS, minpack.lm, sna, spatstat.utils, stats, utils, plyr, dplyr, parallel, doParallel, progressr, foreach
Suggests: testthat, R.rsp
Published: 2020-09-02
Author: Marco Battaglini ORCID iD [aut], Valerio Leone Sciabolazza ORCID iD [aut, cre], Eleonora Patacchini ORCID iD [aut], Sida Peng ORCID iD [aut]
Maintainer: Valerio Leone Sciabolazza <valerio.leonesciabolazza at uniparthenope.it>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: econet results

Downloads:

Reference manual: econet.pdf
Vignettes: econet
Package source: econet_0.1.92.tar.gz
Windows binaries: r-devel: econet_0.1.92.zip, r-release: econet_0.1.92.zip, r-oldrel: econet_0.1.92.zip
macOS binaries: r-release: econet_0.1.92.tgz, r-oldrel: econet_0.1.92.tgz
Old sources: econet archive

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