Package: EpiModel 2.6.2
EpiModel: Mathematical Modeling of Infectious Disease Dynamics
Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Authors:
EpiModel_2.6.2.tar.gz
EpiModel_2.6.2.zip(r-4.7)EpiModel_2.6.2.zip(r-4.6)EpiModel_2.6.2.zip(r-4.5)
EpiModel_2.6.2.tgz(r-4.6-x86_64)EpiModel_2.6.2.tgz(r-4.6-arm64)EpiModel_2.6.2.tgz(r-4.5-x86_64)EpiModel_2.6.2.tgz(r-4.5-arm64)
EpiModel_2.6.2.tar.gz(r-4.7-arm64)EpiModel_2.6.2.tar.gz(r-4.7-x86_64)EpiModel_2.6.2.tar.gz(r-4.6-arm64)EpiModel_2.6.2.tar.gz(r-4.6-x86_64)
EpiModel_2.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EpiModel/json (API)
NEWS
| # Install 'EpiModel' in R: |
| install.packages('EpiModel', repos = c('https://epimodel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/epimodel/epimodel/issues
Pkgdown/docs site:https://epimodel.github.io
agent-based-modelingepidemicsepidemiologyinfectious-diseasesnetwork-graphcpp
Last updated from:dc50915ebd. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 217 | ||
| linux-devel-x86_64 | OK | 567 | ||
| source / vignettes | OK | 322 | ||
| linux-release-arm64 | OK | 221 | ||
| linux-release-x86_64 | OK | 268 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-release-x86_64 | OK | 295 | ||
| macos-oldrel-arm64 | OK | 137 | ||
| macos-oldrel-x86_64 | OK | 345 | ||
| windows-devel | OK | 203 | ||
| windows-release | OK | 210 | ||
| windows-oldrel | OK | 205 | ||
| wasm-release | OK | 163 |
Exports:add_attradd_controladd_epiadd_initadd_paramadd_verticesappend_attrappend_core_attrapportion_lrarrivals.2g.netarrivals.icmarrivals.icm.biparrivals.netarrive_nodesas_cumulative_edgelistas_tibble_edgelistas.epi.data.frameas.phylo.transmatauto_update_attrbrewer_rampcheck_degdist_balcolor_teacomp_plotcontrol.dcmcontrol.icmcontrol.netcopy_datattr_to_nwattrcopy_nwattr_to_datattrcreate_dat_objectcreate_scenario_listcrosscheck.dcmcrosscheck.icmcrosscheck.netdcmdedup_cumulative_edgelistdelete_attrdelete_edgesdelete_verticesdepart_nodesdepartures.2g.netdepartures.icmdepartures.icm.bipdepartures.netdiscord_edgelistdissolution_coefsedgelist_censoredges_correctepiwebgenerate_random_paramsgeom_bandsget_argsget_attrget_attr_historyget_attr_listget_attr_propget_backward_reachableget_controlget_control_listget_core_attributesget_cumulative_degreeget_cumulative_edgelistget_cumulative_edgelists_dfget_current_timestepget_degreeget_discordant_edgelistget_edgelistget_edgelists_dfget_epiget_epi_listget_formula_term_attrget_forward_reachableget_initget_init_listget_networkget_network_attributesget_network_controlget_network_term_attrget_nwparamget_nwstatsget_paramget_param_listget_param_setget_partnersget_posit_idsget_simsget_transmatget_unique_idsget_vertex_attributeicmidgroupincrement_timestepinfection.2g.netinfection.icminfection.icm.bipinfection.netinit_netsinit_status.icminit_status.netinit.dcminit.icminit.netinitialize.icminitialize.netis_active_posit_idsis_active_unique_idsis.transmatmake_restart_pointmcatmod_SI_1g_clmod_SI_1g_opmod_SI_2g_clmod_SI_2g_opmod_SIR_1g_clmod_SIR_1g_opmod_SIR_2g_clmod_SIR_2g_opmod_SIS_1g_clmod_SIS_1g_opmod_SIS_2g_clmod_SIS_2g_opmultilayermutate_epinetdxnetestnetsimnetwork_initializenwupdate.netoverwrite_attrspadded_vectorparam_randomparam.dcmparam.icmparam.netparam.net_from_tableparam.net_to_tableprevalence.icmprevalence.icm.bipprevalence.netprocess_out.netrecord_attr_historyrecord_raw_objectrecovery.2g.netrecovery.icmrecovery.icm.biprecovery.netremove_node_attrresim_netssaveout.dcmsaveout.icmsaveout.netset_attrset_controlset_current_timestepset_episet_initset_networkset_paramset_transmatset_vertex_attributesim_nets_t1simulate_datssamplesummary_netstest_icmtest_nettrim_netesttruncate_simupdate_cumulative_edgelistupdate_dissolutionupdate_paramsuse_scenarioverbose.dcmverbose.icmverbose.net
Dependencies:apecachemclicodacodetoolscollectionscpp11DEoptimRdeSolvedigestdplyrergmergm.multievaluatefarverfastmapfuturefuture.applygenericsggplot2globalsgluegtablehighrisobandknitrlabelinglatticelazyevallifecyclelistenvlpSolveAPImagrittrMASSMatrixmemoisenetworknetworkDynamicnetworkLitenlmeparallellypillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRdpackrlangrlerobustbaseS7scalesstatnet.commonstringistringrtergmtibbletidyselecttrustutf8vctrsviridisLitewithrxfunyaml
EpiModel: Mathematical Modeling of Infectious Disease Dynamics
Rendered fromIntro.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-05-12
Started: 2014-11-02
Working with Custom Attributes and Summary Statistics in EpiModel
Rendered fromattributes-and-summary-statistics.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-04-01
Started: 2021-11-08
Working with Model Parameters in EpiModel
Rendered frommodel-parameters.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-04-01
Started: 2021-11-08
Working with Network Objects in EpiModel
Rendered fromnetwork-objects.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-05-26
Started: 2021-11-08
