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-any)DRMR_0.2.0.zip(r-4.6-any)DRMR_0.2.0.zip(r-4.5-any)
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:09d0827e51. Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develWARNING187
source / vignettesOK186
linux-releaseWARNING193
macos-releaseWARNING173
macos-oldrelWARNING110
windows-develWARNING132
windows-releaseWARNING137
windows-oldrelWARNING143
wasm-releaseOK127

Exports:DR_RubinRulegetDatgetDatUgetGRstatsgetSummaryInfSmoothStratify

Dependencies:arrangementsashaskpassbase64encbitopsbslibcachemcliclustercodetoolscolorspacecpp11crosstalkcurldata.tableDEoptimRdeSolvedigestdoParalleldplyrevaluatefarverfastmapfdafda.uscfdsFNNfontawesomeforeachfsgenericsggplot2glmnetgluegmpgtablehdrcdehighrhtmltoolshtmlwidgetshttrisobanditeratorsiterpcjquerylibjsonlitekernlabKernSmoothknitrkskSampleslabelinglaterlatticelazyevallifecyclelocfitmagrittrMASSmathjaxrMatrixMatrixModelsmclustmemoiseMendelianRandomizationmetadatmetaformgcvmimemulticoolmvtnormnlmenumDerivopensslotelpbapplypcaPPpillarpkgconfigplotlypracmapromisespurrrquantregR6rainbowrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRCurlrjsonrlangrmarkdownrobustbaseS7sassscalesshapeSparseMstringistringrSuppDistssurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml