# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bml" in publications use:' type: software license: GPL-3.0-only title: 'bml: Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions' version: 0.9.0 doi: 10.32614/CRAN.package.bml abstract: 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" . authors: - family-names: Rosche given-names: Benjamin email: benrosche@nyu.edu orcid: https://orcid.org/0000-0001-5196-625X repository: https://benrosche.r-universe.dev repository-code: https://github.com/benrosche/bml commit: 26ccd4cff21310dd19f342443933142283270618 url: https://benrosche.github.io/bml/ date-released: '2026-03-17' contact: - family-names: Rosche given-names: Benjamin email: benrosche@nyu.edu orcid: https://orcid.org/0000-0001-5196-625X