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-4.5)MRAID_1.0.zip(r-4.4)MRAID_1.0.zip(r-4.3)
MRAID_1.0.tgz(r-4.4-x86_64)MRAID_1.0.tgz(r-4.4-arm64)MRAID_1.0.tgz(r-4.3-x86_64)MRAID_1.0.tgz(r-4.3-arm64)
MRAID_1.0.tar.gz(r-4.5-noble)MRAID_1.0.tar.gz(r-4.4-noble)
MRAID_1.0.tgz(r-4.4-emscripten)MRAID_1.0.tgz(r-4.3-emscripten)
MRAID.pdf |MRAID.html
MRAID/json (API)

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

Peer review:

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

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

On CRAN:

2 exports 15 stars 2.95 score 3 dependencies 12 scripts

Last updated 2 years agofrom:8769247004. Checks:OK: 1 WARNING: 8. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 06 2024
R-4.5-win-x86_64WARNINGOct 06 2024
R-4.5-linux-x86_64WARNINGOct 06 2024
R-4.4-win-x86_64WARNINGOct 06 2024
R-4.4-mac-x86_64WARNINGOct 06 2024
R-4.4-mac-aarch64WARNINGOct 06 2024
R-4.3-win-x86_64WARNINGOct 06 2024
R-4.3-mac-x86_64WARNINGOct 06 2024
R-4.3-mac-aarch64WARNINGOct 06 2024

Exports:MRAIDMRAID_CPP

Dependencies:RcppRcppArmadilloRcppDist