Package: simmrd 0.0.0.9000

Noah Lorincz-Comi

simmrd: Simulation of Mendelian Randomization data

This package generates simulation data to use in the evaluation of univariable or multivariable Mendelian Randomization methods. MR scenarios can include uncorrelated horizontal pleiotropy, correlated horizontal pleiotropy, weak instruments, winner's curse, and correlated SNP instruments.

Authors:Noah Lorincz-Comi [aut, cre]

simmrd_0.0.0.9000.tar.gz
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simmrd.pdf |simmrd.html
simmrd/json (API)

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

Peer review:

Bug tracker:https://github.com/noahlorinczcomi/simmr/issues

On CRAN:

3.65 score 3 stars 15 exports 74 dependencies

Last updated 10 months agofrom:986323e3c9. Checks:7 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 14 2025
R-4.5-winOKJan 14 2025
R-4.5-linuxOKJan 14 2025
R-4.4-winOKJan 14 2025
R-4.4-macOKJan 14 2025
R-4.3-winOKJan 14 2025
R-4.3-macOKJan 14 2025

Exports:adj_overlapar1biggwasclassIVsgenerate_individualgenerate_summarymakeBlocksparthcorrparthstdpfunplot_simdataplot_simdata_lowerpruningsetfstd

Dependencies:abindbackportsBHbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellmvnfastnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Tutorial

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Jan 14 2025.

Last update: 2024-01-05
Started: 2024-01-05