Package: MVMRcMLSuSiE 0.1.0

Lap Sum Chan

MVMRcMLSuSiE: Implementation of MVMR-cML-SuSiE

Implements the first three steps of constrained Maximum Likelihood (cML) based Mendelian randomization approach for highly correlated exposures

Authors:Lap Sum Chan

MVMRcMLSuSiE_0.1.0.tar.gz
MVMRcMLSuSiE_0.1.0.zip(r-4.7)MVMRcMLSuSiE_0.1.0.zip(r-4.6)MVMRcMLSuSiE_0.1.0.zip(r-4.5)
MVMRcMLSuSiE_0.1.0.tgz(r-4.6-any)MVMRcMLSuSiE_0.1.0.tgz(r-4.5-any)
MVMRcMLSuSiE_0.1.0.tar.gz(r-4.7-any)MVMRcMLSuSiE_0.1.0.tar.gz(r-4.6-any)
MVMRcMLSuSiE_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MVMRcMLSuSiE/json (API)

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

Bug tracker:https://github.com/lapsumchan/mvmr-cml-susie/issues

On CRAN:

Conda:

2.48 score 6 stars 4 scripts 3 exports 28 dependencies

Last updated from:da71c5cd62. Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING147
source / vignettesOK196
linux-release-x86_64WARNING119
macos-release-arm64WARNING79
macos-oldrel-arm64WARNING137
windows-develWARNING99
windows-releaseWARNING107
windows-oldrelWARNING97
wasm-releaseOK97

Exports:mvmr.cml.susie.step1mvmr.cml.susie.step2mvmr.cml.susie.step3

Dependencies:clicpp11crayonfarverggplot2gluegtableirlbaisobandlabelinglatticelifecycleMatrixmatrixStatsmixsqpplyrR6RColorBrewerRcppRcppArmadilloreshaperlangS7scalessusieRvctrsviridisLitewithr