_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-rsiena 1.6.6
Propagated dependencies: r-xtable@1.8-8 r-network@1.20.0 r-matrix@1.7-5 r-mass@7.3-65 r-lattice@0.22-9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.stats.ox.ac.uk/~snijders/siena/
Licenses: GPL 2 GPL 3 FSDG-compatible
Build system: r
Synopsis: Siena - Simulation Investigation for Empirical Network Analysis
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>.

Total packages: 1