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>.
Version: | 1.4.7 |
Depends: | R (≥ 3.5.0) |
Imports: | Matrix, lattice, parallel, MASS, methods, xtable |
Suggests: | network, tools, codetools, tcltk |
Published: | 2024-02-21 |
DOI: | 10.32614/CRAN.package.RSiena |
Author: | Tom A.B. Snijders [cre, aut], Ruth M. Ripley [aut], Krists Boitmanis [aut, ctb], Christian Steglich [aut, ctb], Johan Koskinen [ctb], Nynke M.D. Niezink [aut, ctb], Viviana Amati [aut, ctb], Christoph Stadtfeld [ctb], James Hollway [ctb] (IHEID), Per Block [ctb], Robert Krause [ctb], Charlotte Greenan [ctb], Josh Lospinoso [ctb], Michael Schweinberger [ctb], Mark Huisman [ctb], Felix Schoenenberger [aut, ctb], Mark Ortmann [ctb], Marion Hoffman [ctb], Robert Hellpap [ctb], Alvaro Uzaheta [ctb], Steffen Triebel [ctb] |
Maintainer: | Tom A.B. Snijders <tom.snijders at nuffield.ox.ac.uk> |
BugReports: | https://github.com/stocnet/rsiena/issues |
License: | GPL-2 | GPL-3 | file LICENSE |
URL: | https://www.stats.ox.ac.uk/~snijders/siena/ |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Citation: | RSiena citation info |
Materials: | NEWS |
CRAN checks: | RSiena results |
Reference manual: | RSiena.pdf |
Package source: | RSiena_1.4.7.tar.gz |
Windows binaries: | r-devel: RSiena_1.4.7.zip, r-release: RSiena_1.4.7.zip, r-oldrel: RSiena_1.4.7.zip |
macOS binaries: | r-release (arm64): RSiena_1.4.7.tgz, r-oldrel (arm64): RSiena_1.4.7.tgz, r-release (x86_64): RSiena_1.4.7.tgz, r-oldrel (x86_64): RSiena_1.4.7.tgz |
Old sources: | RSiena archive |
Reverse imports: | netmediate |
Reverse suggests: | btergm, manynet, netdiffuseR |
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