Package: MVMR 0.4.9

Tom Palmer

MVMR: MVMR

An R package for performing multivariable Mendelian randomization analyses.

Authors:Wes Spiller [aut], Jack Bowden [aut], Eleanor Sanderson [aut], Tom Palmer [aut, cre]

MVMR_0.4.9.tar.gz
MVMR_0.4.9.zip(r-4.7-any)MVMR_0.4.9.zip(r-4.6-any)MVMR_0.4.9.zip(r-4.5-any)
MVMR_0.4.9.tgz(r-4.6-any)MVMR_0.4.9.tgz(r-4.5-any)
MVMR_0.4.9.tar.gz(r-4.7-any)MVMR_0.4.9.tar.gz(r-4.6-any)
MVMR_0.4.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MVMR/json (API)

# Install 'MVMR' in R:
install.packages('MVMR', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wspiller/mvmr/issues

Pkgdown/docs site:https://wspiller.github.io

Datasets:
  • rawdat_mvmr - Raw multivariable MR summary data using lipid fractions as exposures and systolic blood pressure as an outcome.

On CRAN:

Conda:

8.41 score 56 stars 1 packages 425 scripts 9 exports 2 dependencies

Last updated from:f31bdf861e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK136
source / vignettesOK378
linux-releaseOK114
macos-releaseOK111
macos-oldrelOK80
windows-develOK80
windows-releaseOK89
windows-oldrelOK74
wasm-releaseOK103

Exports:format_mvmrivw_mvmrmrmvinput_to_mvmr_formatmvmrphenocov_mvmrpleiotropy_mvmrqhet_mvmrsnpcov_mvmrstrength_mvmr

Dependencies:bootparallelly

Estimating phenotypic correlations
Covariance and Phenotypic correlations in MVMR | References

Last update: 2026-05-15
Started: 2026-05-15

Multivariable MR Tutorial
Overview | Workflow | Step 1: Obtain summary data | Estimating pairwise covariances between SNP associations | Step 2: Format summary data | Step 3: Test for weak instruments | Step 4: Test for horizontal pleiotropy using conventional Q-statistic estimation | Step 5: Estimate causal effects | Step 6: Robust causal effect estimation. | References

Last update: 2026-05-15
Started: 2020-04-15