Package: mvfmr
Type: Package
Title: Functional Multivariable Mendelian Randomization
Version: 0.1.0
Authors@R: c(person("Nicole", "Fontana", email = "nicole.fontana@polimi.it", role = c("aut", "cre")), person("Francesca", "Ieva", role = c("aut", "ths")), person("Piercesare", "Secchi", role = c("aut", "ths")))
Description: 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 <doi:10.1002/sim.10222>) 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)
        <doi:10.48550/arXiv.2512.19064>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: fdapace, ggplot2 (>= 3.0.0), parallel, doParallel, foreach,
        pROC, progress, glmnet, gridExtra, stats
Suggests: dplyr, tidyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-07-09 07:52:58 UTC; root
Author: Nicole Fontana [aut, cre], Francesca Ieva [aut, ths],
        Piercesare Secchi [aut, ths]
Maintainer: Nicole Fontana <nicole.fontana@polimi.it>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-02-09 13:30:09 UTC
RemoteUrl: https://github.com/cran/mvfmr
RemoteRef: HEAD
RemoteSha: 3be5577de672dfb50a262a0b7c6aae784cd78844