# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mvfmr" in publications use:' type: software license: MIT title: 'mvfmr: Functional Multivariable Mendelian Randomization' version: 0.1.0 doi: 10.32614/CRAN.package.mvfmr abstract: 'Implements Multivariable Functional Mendelian Randomization (MV-FMR) to estimate time-varying causal effects of multiple longitudinal exposures on health outcomes. Extends univariable functional Mendelian Randomisation (MR) (Tian et al., 2024 ) to the multivariable setting, enabling joint estimation of multiple time-varying exposures with pleiotropy and mediation scenarios. Key features include: (1) data-driven cross-validation for basis component selection, (2) handling of mediation pathways between exposures, (3) support for both continuous and binary outcomes using Generalized Method of Moments (GMM) and control function approaches, (4) one-sample and two-sample MR designs, (5) bootstrap inference and instrument diagnostics including Q-statistics for overidentification testing. Methods are described in Fontana et al. (2025) .' authors: - family-names: Fontana given-names: Nicole email: nicole.fontana@polimi.it - family-names: Ieva given-names: Francesca - family-names: Secchi given-names: Piercesare repository: https://cran.r-universe.dev commit: 3be5577de672dfb50a262a0b7c6aae784cd78844 date-released: '2026-02-09' contact: - family-names: Fontana given-names: Nicole email: nicole.fontana@polimi.it