OneSampleMR: One Sample Mendelian Randomization and Instrumental Variable Analyses

Useful functions for one-sample (individual level data) Mendelian randomization and instrumental variable analyses. The package includes implementations of; the Sanderson and Windmeijer (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the multiplicative structural mean model Hernán and Robins (2006) <doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor substitution and two-stage residual inclusion estimators explained by Terza et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.

Version: 0.1.2
Depends: R (≥ 3.6.0)
Imports: Formula, gmm, ivreg, lmtest, msm
Suggests: haven, knitr, lfe, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-05-11
Author: Tom Palmer ORCID iD [aut, cre], Wes Spiller ORCID iD [aut], Eleanor Sanderson ORCID iD [aut]
Maintainer: Tom Palmer <remlapmot at hotmail.com>
BugReports: https://github.com/remlapmot/OneSampleMR/issues/
License: GPL (≥ 3)
URL: https://github.com/remlapmot/OneSampleMR, https://remlapmot.github.io/OneSampleMR/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: OneSampleMR results

Documentation:

Reference manual: OneSampleMR.pdf
Vignettes: Comparison fits of the multiplicative structural mean model
Comparison of conditional F-statistics

Downloads:

Package source: OneSampleMR_0.1.2.tar.gz
Windows binaries: r-devel: OneSampleMR_0.1.2.zip, r-release: OneSampleMR_0.1.2.zip, r-oldrel: OneSampleMR_0.1.2.zip
macOS binaries: r-release (arm64): OneSampleMR_0.1.2.tgz, r-oldrel (arm64): OneSampleMR_0.1.2.tgz, r-release (x86_64): OneSampleMR_0.1.2.tgz, r-oldrel (x86_64): OneSampleMR_0.1.2.tgz
Old sources: OneSampleMR archive

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