This package is considered a duplicate. The official version of this package is found at:https://mrcieu.r-universe.dev/OneSampleMR

Package: OneSampleMR 0.1.7.9000

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>.

Authors:Tom Palmer [aut, cre], Wes Spiller [aut], Eleanor Sanderson [aut], Nicolai Vitt [aut]

OneSampleMR_0.1.7.9000.tar.gz
OneSampleMR_0.1.7.9000.zip(r-4.7)OneSampleMR_0.1.7.9000.zip(r-4.6)OneSampleMR_0.1.7.9000.zip(r-4.5)
OneSampleMR_0.1.7.9000.tgz(r-4.6-any)OneSampleMR_0.1.7.9000.tgz(r-4.5-any)
OneSampleMR_0.1.7.9000.tar.gz(r-4.7-any)OneSampleMR_0.1.7.9000.tar.gz(r-4.6-any)
OneSampleMR_0.1.7.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
OneSampleMR/json (API)
NEWS

# Install 'OneSampleMR' in R:

install.packages('OneSampleMR', repos = c('https://remlapmot.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/remlapmot/onesamplemr/issues

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

On CRAN:

instrumental-variable instrumental-variables mendelian-randomisation mendelian-randomization mendelianrandomisation mendelianrandomization

7.31 score 25 stars 34 scripts 239 downloads 4 exports 75 dependencies

Last updated from:531242a154. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	170
source / vignettes	OK	221
linux-release-x86_64	OK	148
macos-release-arm64	OK	135
macos-oldrel-arm64	OK	183
windows-devel	OK	143
windows-release	OK	94
windows-oldrel	OK	130
wasm-release	OK	130

Exports:fsw msmm tsps tsri

Dependencies:abind backports boot broom car carData cli colorspace cowplot cpp11 Deriv doBy dplyr expm farver forecast Formula fracdiff generics ggplot2 glue gmm gtable isoband ivreg labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr msm mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 sandwich scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Comparison fits of the multiplicative structural mean model

Rendered fromcompare-smm-fits.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2024-08-27
Started: 2021-08-19

Comparison of conditional F-statistics

Rendered fromf-statistic-comparison.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2026-02-26
Started: 2021-08-19

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Additive structural mean model	asmm
Conditional F-statistic of Sanderson and Windmeijer (2016)	fsw fsw.fixest fsw.ivreg fsw.iv_robust print.fsw
Multiplicative structural mean model	msmm
Summarizing MSMM Fits	print.msmm print.summary.msmm summary.msmm
Summarizing TSPS Fits	print.summary.tsps print.tsps summary.tsps
Summarizing TSRI Fits	print.summary.tsri print.tsri summary.tsri
Two-stage predictor substitution (TSPS) estimators	tsps
Two-stage residual inclusion (TSRI) estimators	tsri