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:Samuel M. Jenness [aut, cre], Chad Klumb [aut]

tergmLite_2.6.1.tar.gz
tergmLite_2.6.1.zip(r-4.7-x86_64)tergmLite_2.6.1.zip(r-4.7-arm64)tergmLite_2.6.1.zip(r-4.6-x86_64)tergmLite_2.6.1.zip(r-4.6-arm64)tergmLite_2.6.1.zip(r-4.5-x86_64)
tergmLite_2.6.1.tgz(r-4.6-x86_64)tergmLite_2.6.1.tgz(r-4.6-arm64)tergmLite_2.6.1.tgz(r-4.5-x86_64)tergmLite_2.6.1.tgz(r-4.5-arm64)
tergmLite_2.6.1.tar.gz(r-4.7-arm64)tergmLite_2.6.1.tar.gz(r-4.7-x86_64)tergmLite_2.6.1.tar.gz(r-4.6-arm64)tergmLite_2.6.1.tar.gz(r-4.6-x86_64)
tergmLite_2.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tergmLite/json (API)

# Install 'tergmLite' in R:
install.packages('tergmLite', repos = c('https://smjenness.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.70 score 5 scripts 313 downloads 8 exports 46 dependencies

Last updated from:6f60478812. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK211
linux-devel-x86_64OK231
source / vignettesOK203
linux-release-arm64OK207
linux-release-x86_64OK233
macos-release-arm64OK109
macos-release-x86_64OK239
macos-oldrel-arm64OK97
macos-oldrel-x86_64OK234
windows-devel-arm64OK236
windows-devel-x86_64OK160
windows-release-arm64OK214
windows-release-x86_64OK113
windows-oldrel-x86_64OK139
wasm-releaseOK135

Exports:add_verticesas.networkLitedelete_verticesget_vertex_attributeinit_tergmLitenetwork_initializenetworkLiteset_vertex_attribute

Dependencies:cachemclicodaDEoptimRdplyrergmergm.multievaluatefastmapgenericsgluehighrknitrlatticelifecyclelpSolveAPImagrittrMASSMatrixmemoisenetworknetworkDynamicnetworkLitenlmepillarpkgconfigpurrrR6rbibutilsRcppRdpackrlangrlerobustbasestatnet.commonstringistringrtergmtibbletidyselecttrustutf8vctrswithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Fast Simulation of Simple Temporal Exponential Random Graph ModelstergmLite-package tergmLite
Fast Version of network::add.vertices for Edgelist-formated Networkadd_vertices
Fast Version of network::delete.vertices for Edgelist-formated Networkdelete_vertices
Get Vertex Attribute on Network Objectget_vertex_attribute
Initializes EpiModel netsim Object for tergmLite Simulationinit_tergmLite
Initialize Network Objectnetwork_initialize
networkLite Constructor UtilitiesnetworkLite networkLite.edgelist networkLite.matrix networkLite.numeric
networkLite Methodsadd.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 Objectset_vertex_attribute