Date: November 29th, 2023
remstats object are now correctly set after executing bind_remstats().remstats failed to find the edgelist when reh is ordinal.aomstats failed when the computation method was pe, the memory method was decay and the first event at the start index was not the first event at that time.Date: November 16th, 2023 Compatible with remify version 3.2.0.
method for managing simultaneous events. The default method is "pt" (per timepoint), where statistics are computed once for each unique timepoint in the edgelist. Alternatively, you can choose "pe" (per event), where statistics are computed once for each unique event observed in the edgelist.same statistic.subset and method object to the attributes of tomstats and aomstats objects.start and stop values changes slightly when method is pt. They now refer to the indices of the first unique timepoint and last unique timepoint for which the user wishes to calculate statistics. The meaning of start and stop remains unchanged when method is pe.consider_type argument is now TRUE for improved logical consistency.formula attributes of aomstats object.ccp effect has been removed.Date: 25-10-23 Works with remify >= 3.1.0.
bind_remstats() that occurs when combining two actor-oriented remstats objects, one of which has receiver effects while the other does not.Date: 09-10-23 Works with remify >= 3.1.0.
tie() statistic.tie() statistic.dyad() statistic as an alternative to the tie() statistic.attr_dyads) for the tie() statistic, the previously used attr_data object has been renamed to attr_actors. This change ensures consistency and clarity in our terminology.Date: 06-10-2023 Works with remify >= 3.1.0.
Date: 05-09-2023 Works with remify >= 3.1.0.
bind_remstats() now works for the actor-oriented modelDate: 28-08-2023 Works with remify >= 3.1.0.
remstats() now works for ordinal event sequences.Date: 13-07-2023 Works with remify >= 3.1.0.
display_progress argument for the tie-oriented model.Date: 06-07-2023 Works with remify >= 3.1.0.
unique argument in triadic statisticsvar1.x.var2 to var1:var2.spUnique is deprecated. Instead sp(unique = TRUE) can be used. This is done to be consistent with the new unique argument in the directed triadic statistics.testthat to tinytest.Date: 01-07-2023
Works with remify >= 3.1.0.
bind_remstats()remify::remify riskset argument)attributes argument that exists in many of the function is renamed to attr_data to avoid naming conflicts.scaling = "as.is" option to scaling = "none".Date: 01-06-2023
IMPORTANT: remstats 3.1.0 works with remify >= 3.0.0. Make sure remify is updated. If earlier versions of remify are in use, remstats 3.1.0 will break down.
print(), and summary() methods.edgelist argument is renamed to reh.reh must be an object of class remify.id column in attributes object is renamed to name.aomstats output is reduced to the list of statistics (sender_stats and receiver_stats)tomstats output is reduced to the array of statistics. The risk set is now an attribute. The adjmat is only an attribute if requested with “get_adjmat” (this is changed to save memory).Date: 16-Mar-23
tie_effects() and actor_effects().display_progress argument in aomstats() (will be added to remstats() and tomstats() later.)Date: 08-Feb-23
Date: 05-Jan-23
Date: 22-Dec-21
IMPORTANT: remstats 3.0.0 works with remify >= 2.0.0. Make sure remify is updated. If earlier versions of remify are in use, remstats 3.0.0 will break down.
tie() (see issue #29).Date: 21-Dec-21
Date: 16-Dec-21
degreeMin and degreeMax statistics for undirected events.ccp statistic for undirected, dyadic events.verbose argument that, when set to TRUE, outputs a progress update on the statistics computation.tomstats().event() effect.tomstats) for greater efficiency and less computation time.remstats() function, which is a wrapper for aomstats() and tomstats().aomstats() function arguments that refer to the requested effects: sender_effects (was rateEffects) and receiver_effects (was choiceEffects).aomstats() statistics List output object to sender_stats (was rate) and receiver_stats (was choice).NEWS.md file to track changes to the package.aomstats() is added to compute statistics for the actor-oriented model. Effects for the rate-step and the choice-step of this model have to be specified separately, see the function’s documentation or the README.md.Brandes is added to the memory functionality. This refers to the exponential decay of the weight of past events, depending on the time that has past since the event occurred. The memoryValue argument refers to the halftime parameter (see Brandes et al., 2009).remstats(), which was the main function in the previous version, is changed to tomstats() (because it computes statistics for the tie-oriented model, as opposed to the function aomstats(), which computes statistics for the actor-oriented model).memory and memoryValue are added as arguments of tomstats() and aomstats() and removed from the separate statistic functions. This is because based on these memory settings, an adjacency matrix is computed. Based on this adjacency matrix, a lot of the endogenous effects are computed. While this increases the efficiency of the computation, memory effects can no longer be specified separately per endogenous variable.weight column in the edgelist that is supplied to tomstats() or aomstats() instead of to a separate argument in the separate statistic functions. This is because based on these weights, an adjacency matrix is computed that is used for the computation of the endogenous effects. (see previous point).effects argument (tomstats()) or rateEffects and choiceEffects argument (aomstats()). Previously, this argument was called formula.tomstats() and aomstats() are transformed back to their original ID’s, instead of to the ID’s used by remify::reh() and internally, so that the user can more easily assess the computed statistics.lm(). In the tie-oriented model and rate step of the actor-oriented model, an intercept term is assumed by default (unless the ordinal argument is set to TRUE). Alternatively, it can be explicitly specified by adding 1 to the terms of the effects formula or explicitly removed by adding -1 to the terms. The baseline() specification is removed.FEtype() (could previously be done with baseline(with_type = TRUE)).with_type in the endogenous statistic functions is renamed to consider_type.attributes object (previously named covariates) can now be supplied to the main functions tomstats() or aomstats() directly, but can also still be specified in the separate functions for exogenous statistics.