NEW FEATURES

• Export a generic get_discordant_edgelist where the attribute used to assess discordance as well as the values for each group can be specified.
• Export param.net_from_table and param.net_to_table helper functions to convert parameter list and parameter data.frames used by param.net.
• Allow saving the cumulative edge-list at the end of simulation using the save.cumulative.edgelist control argument.
• Restarting a simulation now only requires saving dat$run. This removes the need to keep track of all the elements required at the end of a simulation. This requires the EpiModel user to put all elements in dat$run.
• Export get_forward_reachable and get_backward_reachable functions that works similarly to but more efficiently than tsna::tPath for multiple nodes and using cumulative edgelists.
• Export overwrite_attrs, a helper function to overwrite the attributes of the nodes with a data.frame at the start of the simulation. (see ?overwrite_attrs).
• as.data.frame for model classes netsim and icm now assign the epi.data.frame class in addition to data.frame.
• Add the plot.epi.data.frame method to plot epi.data.frame similar to plot.netsim(type = "epi").
• Export as.epi.data.frame that assign the epi.data.frame class and validate that the input data.frame is correctly formatted.

OTHER

• Speed up raw.records and attr.history with collections::queue instead of base::list.
• Add save.diss.stats to the checked control values. Prevents undefined values when using control.net wrappers.
• Move el.cuml, _last_unique_id, and _last_timestep and attr to dat$run and update the tests; part of the restructuring of the dat object.
• Remove dat$epi$sim.num(.g2) and replace it with dat$run$num(.g2) (single value). These values keep track of the current size of the network and are only needed during model runs.
• Speed up cumulative edge-list calculation by splitting current and historic edges.
• Remove deleteAttr function deprecated since EpiModel v2.4.0.
• All function accepting posit_ids as argument must now pass exclusively a numeric vector. Logical vectors are not accepted anymore as they were making the code heavier and were error prone.
• ergm.ego is now a suggestion to shorten the dependency chain. It needs to be installed separately to use netest with an egor object.