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

dream

R Documentation

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 functions in dream can be grouped into four useful categories:

Create Dynamic Risk Sets for (Large) Relational Event Models
- Functions: processOMEventSeq and processTMEventSeq.
Compute Network Statistics for (Large) Relational Event Models
- Functions: computeISP, computeITP, computeOSP, computeOTP, computeFourCycles, computeFourCycles, computePersistence, computePrefAttach, computeReceiverIndegree, computeReceiverOutdegree, computeRecency, computeReciprocity, computeRemDyadCut, computeRepetition, computeSenderIndegree, computeSenderOutdegree, and computeTriads.
Estimate and Simulate (Large) Relational Event Models
- Functions: estimateREM and simulateRESeq.
Compute One- and Two-Mode Network Structural Measures
- Functions: computeBCConstraint, computeBCES, computeBCRedund, computeBurtsConstraint, computeBurtsES, computeHomFourCycles, computeLealBrokerage, computeNPaths, computeTMDegree, computeTMDens, and computeTMEgoDis.