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mvfmr  

Functional Multivariable Mendelian Randomization
View on CRAN: Click here


Download and install mvfmr package within the R console
Install from CRAN:
install.packages("mvfmr")

Install from Github:
library("remotes")
install_github("cran/mvfmr")

Install by package version:
library("remotes")
install_version("mvfmr", "0.2.0")



Attach the package and use:
library("mvfmr")
Maintained by
Nicole Fontana
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-09
Latest Update: 2026-02-09
Description:
Implements Multivariable Functional Mendelian Randomization (MV-FMR) to estimate time-varying causal effects of multiple longitudinalexposures 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>.
How to cite:
Nicole Fontana (2026). mvfmr: Functional Multivariable Mendelian Randomization. R package version 0.2.0, https://cran.r-project.org/web/packages/mvfmr. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-14 09:10), 0.1.0 (2026-02-09 14:30)
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Complete documentation for mvfmr
Functions, R codes and Examples using the mvfmr R package
Full mvfmr package functions and examples
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