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econet

1.0.0.1Package record

Estimation of Parameter-Dependent Network Centrality Measures

0packages depend
3.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-27
  • WARNING12 OK, 1 WARNING2026-06-14
  • OK13 OK2026-06-09
Show 3 earlier changesHide 3 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0.1
READMEYes · 370 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
11
Examples that run
75%3 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
82%

Downloads

3.1K
CRAN downloads in the past year
Rank #11,150 · ~9/day · ~261/mo
Daily download trend is not available in this view yet.
35530 days
95290 days
3.1K1 year
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Also on71 r2u5 autocran

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing econet adds 36 packages (19 with compiled code, 16 MB of source tarballs). Heaviest: igraph 4.8 MB, Rcpp 1.8 MB, mvtnorm 1.0 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.6 (2018)
Author
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0.1Latest
    record
    2024-07-31 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    record
    2022-04-28 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.94
    record
    2021-05-24 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.93
    record
    2021-01-24 · diff ↗
  • 0.1.92
    record
    2020-09-02 · diff ↗
  • 0.1.91
    record
    2020-08-28 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.81
    record
    2018-11-08 · diff ↗
  • 0.1.7
    record
    2018-08-13 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.1.6
    record
    2018-07-05
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-07-05
Total releases
9 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
94 KB / 7 files
Download size
789 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("econet")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v102.i08.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for econet version 1.0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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