defm

2026

statistical models
networks
Multi-binary response models are a class of models that allow for the estimation of multiple binary outcomes simultaneously.

ActivePackage2026CRAN0.2.1.0downloads2.8kstars1

  1. Vega Yon, G. G.University of UtahiD

CRAN•Docs•Repository•DOI

Estimation and simulation of Multi-binary response models

About

Multi-binary response models are a class of models that allow for the estimation of multiple binary outcomes simultaneously. This package provides functions to estimate and simulate these models using the Discrete Exponential-Family Models (DEFM) framework, implementing the models described in Vega Yon, Valente, and Pugh (2023). DEFMs include Exponential-Family Random Graph Models (ERGMs), which characterize graphs using sufficient statistics, also the core of DEFMs. Using sufficient statistics, the package describes data through meaningful motifs, such as transitions between different states and the joint distribution of the outcomes.

Cite

@Manual{defm,
  title = {defm: Estimation and simulation of Multi-binary response models},
  author = {{Vega Yon}, {George G.}},
  year = {2026},
  doi = {10.32614/CRAN.package.defm},
  url = {https://cran.r-project.org/package=defm},
  note = {R package version 0.2.1.0},
}

← All software