nwsaom
nwsaom estimates stochastic actor-oriented models for the evolution of one or several networks (and, optionally, of actor behavior) between two or more observed waves, after RSiena. Estimation is by the method of moments (the default), maximum likelihood (ml) or Bayesian methods (nwsaom bayes).
nwsaom is not part of the core nwcommands. It is a package of its own, released under the
GNU General Public License, version 3, and it needs the core installed first.
| License | GPL-3 |
| Repository | github.com/thomas-u-grund/nwsaom |
| Install | nwinstall, modelpkg(nwsaom) (after the core; nwinstall, everything installs the core and the four model packages) |
| Version | nwsaom version; release history on GitHub |
Without nwinstall |
net install nwsaom, from(https://raw.githubusercontent.com/thomas-u-grund/nwsaom/main/) replace |
nwsaom version shows the installed release and nwversion lists all model packages. Updating the
core never overwrites the package; to update the package, repeat the nwinstall line. Inside Stata, help nwsaom gives the complete syntax, options and examples.
Section: nwsaom, with an installation page, worked tutorials and a guide for RSiena users. nwsaom follows the R package RSiena and is not a replacement for it.
What it offers:
- a rich set of network, covariate and behavior effects, including interactions, endowment and creation effects, and composition change
- several dependent networks with
nwsaom multinet, and meta-analysis of several fits - postestimation:
estat gof,estat score,estat timetest,estat importance,estat simulate
A first model:
. nwsaom, waves(glasgow1 glasgow2 glasgow3) outdegree reciprocity transtrip samex(smoke1) seed(1)
First tutorial: A first SAOM.