Package: EpiModel 2.5.0
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_2.5.0.tar.gz
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EpiModel_2.5.0.tgz(r-4.4-x86_64)EpiModel_2.5.0.tgz(r-4.4-arm64)EpiModel_2.5.0.tgz(r-4.3-x86_64)EpiModel_2.5.0.tgz(r-4.3-arm64)
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EpiModel.pdf |EpiModel.html✨
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
agent-based-modelingepidemicsepidemiologyinfectious-diseasesnetwork-graph
Last updated 10 days agofrom:735bfdb989. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win-x86_64 | OK | Nov 05 2024 |
R-4.5-linux-x86_64 | OK | Nov 05 2024 |
R-4.4-win-x86_64 | OK | Nov 05 2024 |
R-4.4-mac-x86_64 | OK | Nov 05 2024 |
R-4.4-mac-aarch64 | OK | Nov 05 2024 |
R-4.3-win-x86_64 | OK | Nov 05 2024 |
R-4.3-mac-x86_64 | OK | Nov 05 2024 |
R-4.3-mac-aarch64 | OK | Nov 05 2024 |
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.netdcmdelete_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_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.transmatmcatmod_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:apecachemclicodacodetoolscollectionscolorspaceDEoptimRdeSolvedigestdoParalleldplyrergmergm.multievaluatefansifarverfastmapforeachgenericsggplot2gluegtablehighrisobanditeratorsknitrlabelinglatticelazyevallifecyclelpSolveAPImagrittrMASSMatrixmemoisemgcvmunsellnetworknetworkDynamicnetworkLitenlmepillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRdpackrlangrlerobustbasescalesstatnet.commonstringistringrtergmtibbletidyselecttrustutf8vctrsviridisLitewithrxfunyaml
EpiModel: Mathematical Modeling of Infectious Disease Dynamics
Rendered fromIntro.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2024-10-10
Started: 2014-11-02
Working with Custom Attributes and Summary Statistics in EpiModel
Rendered fromattributes-and-summary-statistics.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2024-10-10
Started: 2021-11-08
Working with Model Parameters in EpiModel
Rendered frommodel-parameters.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2022-07-11
Started: 2021-11-08
Working with Network Objects in EpiModel
Rendered fromnetwork-objects.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2024-10-10
Started: 2021-11-08