Package: defm
Type: Package
Title: Estimation and Simulation of Multi-Binary Response Models
Version: 0.2.1.0
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)
        <doi:10.48550/arXiv.2211.00627>. 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)
RoxygenNote: 7.3.3
LinkingTo: Rcpp, barry
Imports: Rcpp, stats
Depends: R (>= 4.1.0), stats4
Suggests: texreg, tinytest, barry
Repository: https://uofuepibio.r-universe.dev
Date/Publication: 2026-05-04 21:44:22 UTC
RemoteUrl: https://github.com/UofUEpiBio/defm
RemoteRef: HEAD
RemoteSha: 57a79707fc39b785a3ac787c73bbb4eda0ef3905
NeedsCompilation: yes
Packaged: 2026-07-05 09:56:38 UTC; root
Author: George Vega Yon [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3171-0844>),
  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 <g.vegayon@gmail.com>