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econet
View on CRAN: Click
here
Download and install econet package within the R console
Install from CRAN:
install.packages("econet")
Install from Github:
library("remotes")
install_github("cran/econet") Install by package version:
library("remotes")
install_version("econet", "1.0.0.1") Attach the package and use:
library("econet")
Maintained by
Valerio Leone Sciabolazza
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-05
Latest Update: 2024-07-31
Description:
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 .
How to cite:
Valerio Leone Sciabolazza (2018). econet: Estimation of Parameter-Dependent Network Centrality Measures. R package version 1.0.0.1, https://cran.r-project.org/web/packages/econet. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited econet R package
View econet citation profile
Other R packages that econet depends,
imports, suggests or enhances
Complete documentation for econet
Functions, R codes and Examples using
the econet R package
Some associated functions: G_alumni_111 . G_cosponsor_111 . G_model_A_test . a_G_alumni_111 . a_db_alumni . boot . db_alumni_test . db_cosponsor . horse_race . net_dep . quantify .
Some associated R codes: AIC.R . G_alumni_111.R . G_cosponsor_111.R . G_model_A_test.R . a_G_alumni_111.R . a_db_alumni.R . boot.R . check_entries.R . compute_centralities.R . create_dyadic_db.R . create_dyadic_db_no_excl.R . create_dyadic_fe.R . create_y_hat.R . db_alumni_test.R . db_cosponsor.R . dep_mat.R . formula.R . globals.R . horse_race.R . ifdummy.R . ifdummy1.R . ll_compet_het_left.R . ll_compet_lim.R . ll_het_left.R . ll_het_right.R . ll_party.R . ll_party_split_btw.R . ll_party_split_with.R . ll_party_split_with_btw.R . logLik.R . mat_to_el.R . mle2.R . mle3.R . mle_compet_het.R . mle_compet_lim.R . mle_het.R . mle_party.R . mle_party_split_btw.R . mle_party_split_with.R . mle_party_split_with_btw.R . mle_prepare_data.R . net_dep.R . nls_constrained.R . nls_prepare_data.R . par_dep.R . par_dep_mat.R . parameter_dependent_centrality.R . party_connection.R . party_connection_split.R . prepare_data.R . print.R . quantify.R . remove_edge.R . replace_start_value.R . sample_data.R . sample_residuals.R . select_X.R . select_beta.R . solve_block.R . summary.R . time_party_connection.R . time_party_connection_split.R . toList.R . try_boot.R . try_boot_weight.R . vcov.R . vec_to_mat.R . Full econet package functions and examples
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