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RSiena  

Siena - Simulation Investigation for Empirical Network Analysis
View on CRAN: Click here


Download and install RSiena package within the R console
Install from CRAN:
install.packages("RSiena")

Install from Github:
library("remotes")
install_github("cran/RSiena")

Install by package version:
library("remotes")
install_version("RSiena", "1.4.7")



Attach the package and use:
library("RSiena")
Maintained by
Tom A.B. Snijders
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-06-27
Latest Update: 2023-07-18
Description:
The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Snijders (2017), <doi:10.1146/annurev-statistics-060116-054035>.
How to cite:
Tom A.B. Snijders (2009). RSiena: Siena - Simulation Investigation for Empirical Network Analysis. R package version 1.4.7, https://cran.r-project.org/web/packages/RSiena
Previous versions and publish date:
1.0.0 (2009-06-27 10:16), 1.0.5 (2009-08-19 10:14), 1.0.8 (2010-01-13 12:29), 1.0.9 (2010-02-09 10:16), 1.0.10 (2010-03-15 16:42), 1.0.11.110 (2010-07-03 18:19), 1.0.11.119 (2010-08-25 15:36), 1.0.11.125 (2010-11-14 09:41), 1.0.12.141 (2011-02-27 19:04), 1.0.12.146 (2011-05-17 16:11), 1.0.12.167 (2011-08-04 13:50), 1.0.12.198 (2012-02-04 15:24), 1.0.12.201 (2012-02-10 15:15), 1.1-212 (2012-03-30 16:40), 1.1-232 (2017-08-04 09:02), 1.2-3 (2017-09-08 16:54), 1.2-12 (2018-05-13 16:58), 1.2-23 (2020-01-12 22:50), 1.3.0.1 (2021-11-15 18:13), 1.3.0 (2021-05-10 18:22), 1.3.13 (2022-10-08 01:20), 1.3.14.1 (2023-07-06 13:53), 1.3.14.2 (2023-07-06 13:09), 1.3.14.3 (2023-07-08 18:59), 1.3.14.4 (2023-07-18 11:52), 1.3.14 (2022-11-04 11:50), 1.4.1 (2023-11-02 11:50)
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