Package: mrcovreg 1.0.0

Andrew Grant

mrcovreg: Package for an efficient and robust approach to Mendelian randomization with measured pleiotropic effects

Implement a method for an efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting.

Authors:Andrew Grant [aut, cre]

mrcovreg_1.0.0.tar.gz
mrcovreg_1.0.0.zip(r-4.7-any)mrcovreg_1.0.0.zip(r-4.6-any)mrcovreg_1.0.0.zip(r-4.5-any)
mrcovreg_1.0.0.tgz(r-4.6-any)mrcovreg_1.0.0.tgz(r-4.5-any)
mrcovreg_1.0.0.tar.gz(r-4.7-any)mrcovreg_1.0.0.tar.gz(r-4.6-any)
mrcovreg_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mrcovreg/json (API)

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

Bug tracker:https://github.com/remlapmot/mrcovreg/issues

On CRAN:

Conda:

1.70 score 3 exports 10 dependencies

Last updated from:6546005ec2 (on suggestions). Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develWARNING119
source / vignettesOK155
linux-releaseWARNING106
macos-releaseWARNING79
macos-oldrelWARNING84
windows-develWARNING75
windows-releaseWARNING67
windows-oldrelWARNING75
wasm-releaseOK77

Exports:cv.mr_covregmr_covregmr_covreg_lam

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival