Package: DRMR 0.2.0

Haodong Tian

DRMR: Doubly-Ranked Stratification in Mendelian Randomization

Doubly-ranked and residual stratification for instrumental variable and Mendelian randomization studies and further stratification-based analysis.

Authors:Haodong Tian

DRMR_0.2.0.tar.gz
DRMR_0.2.0.zip(r-4.7)DRMR_0.2.0.zip(r-4.6)DRMR_0.2.0.zip(r-4.5)
DRMR_0.2.0.tgz(r-4.6-any)DRMR_0.2.0.tgz(r-4.5-any)
DRMR_0.2.0.tar.gz(r-4.7-any)DRMR_0.2.0.tar.gz(r-4.6-any)
DRMR_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DRMR/json (API)

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

Bug tracker:https://github.com/hdtian/drmr/issues

On CRAN:

Conda:

3.56 score 11 stars 22 scripts 7 exports 116 dependencies

Last updated from:9f65c04a5a. Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING221
source / vignettesOK226
linux-release-x86_64WARNING188
macos-release-arm64WARNING112
macos-oldrel-arm64WARNING122
windows-develWARNING137
windows-releaseWARNING145
windows-oldrelWARNING141
wasm-releaseOK146

Exports:DR_RubinRulegetDatgetDatUgetGRstatsgetSummaryInfSmoothStratify

Dependencies:arrangementsashaskpassbase64encbitopsbslibcachemcliclustercodetoolscolorspacecpp11crosstalkcurldata.tableDEoptimRdeSolvedigestdoParalleldplyrevaluatefarverfastmapfdafda.uscfdsFNNfontawesomeforeachfsgenericsggplot2glmnetgluegmpgtablehdrcdehighrhtmltoolshtmlwidgetshttrisobanditeratorsiterpcjquerylibjsonlitekernlabKernSmoothknitrkskSampleslabelinglaterlatticelazyevallifecyclelocfitmagrittrMASSmathjaxrMatrixMatrixModelsmclustmemoiseMendelianRandomizationmetadatmetaformgcvmimemulticoolmvtnormnlmenumDerivopensslotelpbapplypcaPPpillarpkgconfigplotlypracmapromisespurrrquantregR6rainbowrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRCurlrjsonrlangrmarkdownrobustbaseS7sassscalesshapeSparseMstringistringrSuppDistssurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml