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Provides functions for the computationally efficient simulation of dynamic networks estimated with the statistical framework of temporal exponential random graph models, implemented in the 'tergm' package.
| Version: | 2.6.1 |
| Depends: | R (≥ 3.5), ergm (≥ 4.0), tergm (≥ 4.0) |
| Imports: | statnet.common (≥ 4.4.0), network (≥ 1.17.0), networkDynamic (≥ 0.11.0), Rcpp, tibble, methods |
| LinkingTo: | Rcpp, ergm |
| Suggests: | testthat, EpiModel (≥ 2.0.5) |
| Published: | 2022-07-20 |
| DOI: | 10.32614/CRAN.package.tergmLite |
| Author: | Samuel M. Jenness [aut, cre], Chad Klumb [aut] |
| Maintainer: | Samuel M. Jenness <samuel.m.jenness at emory.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | tergmLite results |
| Reference manual: | tergmLite.pdf |
| Package source: | tergmLite_2.6.1.tar.gz |
| Windows binaries: | r-devel: tergmLite_2.6.1.zip, r-release: tergmLite_2.6.1.zip, r-oldrel: tergmLite_2.6.1.zip |
| macOS binaries: | r-release (arm64): tergmLite_2.6.1.tgz, r-oldrel (arm64): tergmLite_2.6.1.tgz, r-release (x86_64): tergmLite_2.6.1.tgz, r-oldrel (x86_64): tergmLite_2.6.1.tgz |
| Old sources: | tergmLite archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.