Package: MRAID 1.0

Zhongshang Yuan

MRAID: MRAID(Mendelian Randomization with Automated Instrument Determination)

MRAID is an R package for efficient statistical inference of two-sample Mendelian Randomization. MRAID takes GWAS summary statistics as inputs to estimate causal effects of one trait on another. MRAID is able to model an initial set of candidate SNP instruments that are in high LD with each other and perform automated instrument selection to identify suitable SNPs to serve as instrumental variables. MRAID simultaneously accounts for both uncorrelated and correlated horizontal pleiotropy, relies on a scalable sampling-based inference algorithm to perform numerical integration, circumventing the difficulty in likelihood function, leading to calibrated p-values that enable reasonably large-scale exposure screening.

Authors:Zhongshang Yuan and Lu Liu

MRAID_1.0.tar.gz
MRAID_1.0.zip(r-4.7)MRAID_1.0.zip(r-4.6)
MRAID_1.0.tgz(r-4.6-x86_64)MRAID_1.0.tgz(r-4.6-arm64)
MRAID_1.0.tar.gz(r-4.7-arm64)MRAID_1.0.tar.gz(r-4.7-x86_64)MRAID_1.0.tar.gz(r-4.6-arm64)MRAID_1.0.tar.gz(r-4.6-x86_64)
MRAID_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
MRAID/json (API)

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

Bug tracker:https://github.com/yuanzhongshang/mraid/issues

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

On CRAN:

Conda:

openblascpp

3.13 score 16 stars 17 scripts 2 exports 3 dependencies

Last updated from:8769247004. Checks:8 WARNING, 2 OK, 3 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING139
linux-devel-x86_64WARNING172
source / vignettesOK153
linux-release-arm64WARNING135
linux-release-x86_64WARNING124
macos-release-arm64WARNING81
macos-release-x86_64WARNING169
macos-oldrel-arm64FAIL67
macos-oldrel-x86_64FAIL149
windows-develWARNING97
windows-releaseWARNING96
windows-oldrelFAIL69
wasm-releaseOK131

Exports:MRAIDMRAID_CPP

Dependencies:RcppRcppArmadilloRcppDist