CRAN/E | econet

econet

Estimation of Parameter-Dependent Network Centrality Measures

Installation

About

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 doi:10.18637/jss.v102.i08.

Citation econet citation info

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2022-04-28 728 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Valerio Leone Sciabolazza

valerio.leonesciabolazza@uniroma1.it

Authors

Marco Battaglini

aut

Valerio Leone Sciabolazza

aut / cre

Eleonora Patacchini

aut

Sida Peng

aut

Material

README
Reference manual
Package source

Vignettes

econet

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

econet archive

Depends

R ≥ 3.5.0

Imports

bbmle
igraph
intergraph
formula.tools
Matrix
MASS
minpack.lm
sna
spatstat.utils
stats
utils
plyr
dplyr
parallel
doParallel
progressr
foreach

Suggests

testthat
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