Package: defm Type: Package Title: Estimation and Simulation of Multi-Binary Response Models Version: 0.3.0.0 Authors@R: c( person("George", "Vega Yon", role=c("aut", "cre"), email="g.vegayon@gmail.com", comment = c(ORCID = "0000-0002-3171-0844")), person( "Department of Veterans Affairs - Rehabilitation, Research, and Development Service", role = "fnd", comment = "Award/W81XWH-18-PH/TBIRP-LIMBIC under Award No. I01 RX003443" ), person( "U.S. Army Medical Research Acquisition Activity", role = "fnd", comment = "ORION project, Award #W81XWH1910615") ) Description: 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. In it, we implement the models described in Vega Yon, Valente, and Pugh (2023) . DEFMs include Exponential-Family Random Graph Models [ERGMs], which characterize graphs using sufficient statistics, which is also the core of DEFMs. Using sufficient statistics, we can describe the data through meaningful motifs, for example, transitions between different states, joint distribution of the outcomes, etc. URL: https://github.com/UofUEpiBio/defm, https://uofuepibio.github.io/defm/ BugReports: https://github.com/UofUEpiBio/defm/issues License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) LinkingTo: Rcpp, barry (>= 0.2.99) Imports: methods, Rcpp, stats Depends: R (>= 4.1.0), stats4 Suggests: texreg, tinytest, barry, knitr Config/roxygen2/version: 8.0.0 Repository: https://uofuepibio.r-universe.dev Date/Publication: 2026-10-23 18:32:49 UTC RemoteUrl: https://github.com/UofUEpiBio/defm RemoteRef: HEAD RemoteSha: a0f7148148723a109f5a4dad26a6a37e1aee8637 NeedsCompilation: yes Packaged: 2026-10-23 18:43:32 UTC; root Author: George Vega Yon [aut, cre] (ORCID: ), Department of Veterans Affairs - Rehabilitation, Research, and Development Service [fnd] (Award/W81XWH-18-PH/TBIRP-LIMBIC under Award No. I01 RX003443), U.S. Army Medical Research Acquisition Activity [fnd] (ORION project, Award #W81XWH1910615) Maintainer: George Vega Yon