dream: dream: A Package for Dynamic Relational Event Analysis and...

In dream: Dynamic Relational Event Analysis and Modeling

dream: A Package for Dynamic Relational Event Analysis and Modeling

Description

The dream package provides users with helpful functions for relational and event analysis. In particular, dream provides users with helper functions for large relational event analysis, such as recently proposed sampling procedures for creating relational risk sets. Alongside the set of functions for relational event analysis, this package includes functions for the structural analysis of one- and two-mode networks, such as network constraint and effective size measures. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data Science Program (HNDS) under award number 2241536 (PI: Diego F. Leal). Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

dream functions

The dream package 'API' is structured into six categories, where the prefix identifies what category the specific function corresponds to (see below):

• remstats_

• netstats_om_

• netstats_tm_

• estimate_

• simulate_

• create_

The remstats_ functions compute relational/network statistics for relational event sequences. For instance, remstats_fourcycles computes the four-cycles network statistic for a two-mode relational event sequence. The create_ function creates a risk-set for one- and two-mode relational event sequences based on a set of sampling procedures. The netstats_om_ series of functions compute static network statics for one-mode networks (i.e., netstats_om_pib computes Leal (2025) measure for potential for intercultural brokerage). The netstats_om_ set of functions compute static network statics for two-mode networks (i.e., netstats_om_effective computes Burchard and Cornwell (2018) measure for two-mode ego effective size). The estimate_ functions estimate relational event models for relational event sequences. Currently, the only function in this set is estimate_rem_logit, which estimates the ordinal timing relational event model and, under certain conditions, can estimate a Cox-proportional hazard model for exact timing relational event models (see Bianchi et al. (2024) and Butts (2008) for more information on these models). Finally, the simulate_ functions simulate one-mode relational event sequences based upon results of a relational event model.

Author(s)

Kevin A. Carson [e-mail], Diego F. Leal [e-mail]

See Also

Useful links:

• https://github.com/kevinCarson/dream

• Report bugs at https://github.com/kevinCarson/dream/issues

dream documentation built on Jan. 21, 2026, 1:06 a.m.