# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "bclogit" in publications use:' type: software license: GPL-3.0-only title: 'bclogit: Conditional Logistic Regression' version: 1.1.1 identifiers: - type: doi value: 10.32614/CRAN.package.bclogit abstract: Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) "Improved Conditional Logistic Regression using Information in Concordant Pairs with Software" . authors: - family-names: Kapelner given-names: Adam email: kapelner@qc.cuny.edu orcid: https://orcid.org/0000-0001-5985-6792 - family-names: Tennenbaum given-names: Jacob email: Jacob.Tennenbaum51@qmail.cuny.edu orcid: https://orcid.org/0009-0006-1408-5035 preferred-citation: type: manual title: 'bclogit: Bayesian Conditional Logistic Regression' authors: - family-names: Kapelner given-names: Adam email: kapelner@qc.cuny.edu orcid: https://orcid.org/0000-0001-5985-6792 - family-names: Tennenbaum given-names: Jacob email: Jacob.Tennenbaum51@qmail.cuny.edu orcid: https://orcid.org/0009-0006-1408-5035 year: '2026' notes: R package version 1.1.1 url: https://github.com/tennenbaumj/bclogit_package_and_paper_repo repository: https://cran.r-universe.dev repository-code: https://github.com/tennenbaumj/bclogit_package_and_paper_repo commit: a570eb313cd20e05e337a600b673c3a5579ccbaa url: https://github.com/tennenbaumj/bclogit_package_and_paper_repo date-released: '2026-09-30' contact: - family-names: Kapelner given-names: Adam email: kapelner@qc.cuny.edu orcid: https://orcid.org/0000-0001-5985-6792 keywords: - bayesian-statistics - conditional-logistic-regression - matched-case-control-studies - matched-pairs - concordant-pairs - informative-priors - epidemiology - biostatistics - binary-outcomes - stan references: - type: generic title: Improved Conditional Logistic Regression using Information in Concordant Pairs with Software authors: - family-names: Kapelner given-names: Adam - family-names: Tennenbaum given-names: Jacob year: '2026' doi: 10.48550/arXiv.2602.08212 url: https://arxiv.org/abs/2602.08212