Package: tergmLite 2.6.1
tergmLite: Fast Simulation of Simple Temporal Exponential Random Graph Models
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.
Authors:
tergmLite_2.6.1.tar.gz
tergmLite_2.6.1.zip(r-4.5)tergmLite_2.6.1.zip(r-4.4)tergmLite_2.6.1.zip(r-4.3)
tergmLite_2.6.1.tgz(r-4.4-x86_64)tergmLite_2.6.1.tgz(r-4.4-arm64)tergmLite_2.6.1.tgz(r-4.3-x86_64)tergmLite_2.6.1.tgz(r-4.3-arm64)
tergmLite_2.6.1.tar.gz(r-4.5-noble)tergmLite_2.6.1.tar.gz(r-4.4-noble)
tergmLite_2.6.1.tgz(r-4.4-emscripten)tergmLite_2.6.1.tgz(r-4.3-emscripten)
tergmLite.pdf |tergmLite.html✨
tergmLite/json (API)
NEWS
| # Install 'tergmLite' in R: |
| install.packages('tergmLite', repos = c('https://smjenness.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:6f60478812. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win-x86_64 | OK | Nov 13 2024 |
| R-4.5-linux-x86_64 | OK | Nov 13 2024 |
| R-4.4-win-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-aarch64 | OK | Nov 13 2024 |
| R-4.3-win-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-aarch64 | OK | Nov 13 2024 |
Exports:add_verticesas.networkLitedelete_verticesget_vertex_attributeinit_tergmLitenetwork_initializenetworkLiteset_vertex_attribute
Dependencies:cachemclicodaDEoptimRdplyrergmergm.multievaluatefansifastmapgenericsgluehighrknitrlatticelifecyclelpSolveAPImagrittrMASSMatrixmemoisenetworknetworkDynamicnetworkLitenlmepillarpkgconfigpurrrR6rbibutilsRcppRdpackrlangrlerobustbasestatnet.commonstringistringrtergmtibbletidyselecttrustutf8vctrswithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast Simulation of Simple Temporal Exponential Random Graph Models | tergmLite-package tergmLite |
| Fast Version of network::add.vertices for Edgelist-formated Network | add_vertices |
| Fast Version of network::delete.vertices for Edgelist-formated Network | delete_vertices |
| Get Vertex Attribute on Network Object | get_vertex_attribute |
| Initializes EpiModel netsim Object for tergmLite Simulation | init_tergmLite |
| Initialize Network Object | network_initialize |
| networkLite Constructor Utilities | networkLite networkLite.edgelist networkLite.matrix networkLite.numeric |
| networkLite Methods | add.edges.networkLite as.edgelist.networkLite as.networkLite as.networkLite.network as.networkLite.networkLite get.network.attribute.networkLite get.vertex.attribute.networkLite list.network.attributes.networkLite list.vertex.attributes.networkLite mixingmatrix.networkLite network.edgecount.networkLite network.naedgecount.networkLite networkLitemethods print.networkLite set.network.attribute.networkLite set.vertex.attribute.networkLite [<-.networkLite |
| Set Vertex Attribute on Network Object | set_vertex_attribute |
