Package: MVMRcML 0.1.0

Zhaotong Lin

MVMRcML: Multivariable Mendelian randomization based on constrained maximum likelihood

Robust multivariable Mendelian randomization based on constrained maximum likelihood.

Authors:Zhaotong Lin

MVMRcML_0.1.0.tar.gz
MVMRcML_0.1.0.zip(r-4.7)MVMRcML_0.1.0.zip(r-4.6)MVMRcML_0.1.0.zip(r-4.5)
MVMRcML_0.1.0.tgz(r-4.6-x86_64)MVMRcML_0.1.0.tgz(r-4.6-arm64)MVMRcML_0.1.0.tgz(r-4.5-x86_64)MVMRcML_0.1.0.tgz(r-4.5-arm64)
MVMRcML_0.1.0.tar.gz(r-4.7-arm64)MVMRcML_0.1.0.tar.gz(r-4.7-x86_64)MVMRcML_0.1.0.tar.gz(r-4.6-arm64)MVMRcML_0.1.0.tar.gz(r-4.6-x86_64)
MVMRcML_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MVMRcML/json (API)

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

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.74 score 11 stars 7 scripts 4 exports 3 dependencies

Last updated from:20d09a5463. Checks:8 NOTE, 2 OK, 3 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE119
linux-devel-x86_64NOTE124
source / vignettesOK157
linux-release-arm64NOTE115
linux-release-x86_64NOTE147
macos-release-arm64NOTE110
macos-release-x86_64NOTE341
macos-oldrel-arm64FAIL72
macos-oldrel-x86_64FAIL157
windows-develNOTE145
windows-releaseNOTE141
windows-oldrelFAIL92
wasm-releaseOK120

Exports:invcov_mvmrMVcML_SdThetaMVmr_cMLMVmr_cML_DP

Dependencies:numDerivRcppRcppArmadillo