Package: bml
Type: Package
Title: Bayesian Multiple-Membership Multilevel Models with
        Parameterizable Weight Functions
Version: 0.9.0
Description: Implements Bayesian multiple-membership multilevel models
        with parameterizable weight functions via 'JAGS' to model how
        lower-level units jointly shape higher-level outcomes
        (micro-macro link) across a range of outcome types (e.g.,
        linear, logit, and survival models). Supports estimation and
        comparison of alternative aggregation mechanisms, allows weight
        matrices to be endogenized through parameters and covariates,
        and accommodates complex dependence structures that extend
        beyond traditional multilevel frameworks. For details, see
        Rosche (2026) "A Multilevel Model for Coalition Governments.
        Uncovering Party-Level Dependencies Within and Between
        Governments" <doi:10.31235/osf.io/4bafr_v2>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, readr, tidyr, stringr, R2jags, ggplot2, ggmcmc, coda,
        patchwork, tibble, purrr, rlang
URL: https://benrosche.github.io/bml/
BugReports: https://github.com/benrosche/bml/issues
RoxygenNote: 7.3.3
Authors@R: person("Benjamin", "Rosche", role=c("aut", "cre"),
    email="benrosche@nyu.edu", comment=c(ORCID="0000-0001-5196-625X"))
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), rjags
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-16 08:43:44 UTC; root
Author: Benjamin Rosche [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-5196-625X>)
Maintainer: Benjamin Rosche <benrosche@nyu.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-02-20 08:00:02 UTC
RemoteUrl: https://github.com/cran/bml
RemoteRef: HEAD
RemoteSha: cfde3345aeb22796fe499ac78f0ccc4963793937