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-x86_64)MVMRcML_0.1.0.zip(r-4.7-arm64)MVMRcML_0.1.0.zip(r-4.6-x86_64)MVMRcML_0.1.0.zip(r-4.6-arm64)
MVMRcML_0.1.0.tgz(r-4.6-x86_64)MVMRcML_0.1.0.tgz(r-4.6-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✨
DESCRIPTION
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:10 NOTE, 2 OK, 3 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE109
linux-devel-x86_64NOTE125
source / vignettesOK242
linux-release-arm64NOTE105
linux-release-x86_64NOTE138
macos-release-arm64NOTE131
macos-release-x86_64NOTE189
macos-oldrel-arm64FAIL62
macos-oldrel-x86_64FAIL168
windows-devel-arm64NOTE186
windows-devel-x86_64NOTE133
windows-release-arm64NOTE192
windows-release-x86_64NOTE105
windows-oldrel-x86_64FAIL51
wasm-releaseOK104

Exports:invcov_mvmrMVcML_SdThetaMVmr_cMLMVmr_cML_DP

Dependencies:numDerivRcppRcppArmadillo