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:
mrcovreg_1.0.0.tar.gz
mrcovreg_1.0.0.zip(r-4.5)mrcovreg_1.0.0.zip(r-4.4)mrcovreg_1.0.0.zip(r-4.3)
mrcovreg_1.0.0.tgz(r-4.4-any)mrcovreg_1.0.0.tgz(r-4.3-any)
mrcovreg_1.0.0.tar.gz(r-4.5-noble)mrcovreg_1.0.0.tar.gz(r-4.4-noble)
mrcovreg_1.0.0.tgz(r-4.4-emscripten)mrcovreg_1.0.0.tgz(r-4.3-emscripten)
mrcovreg.pdf |mrcovreg.html✨
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
Last updated 8 months agofrom:6546005ec2 (on suggestions). Checks:OK: 1 WARNING: 6. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | WARNING | Oct 31 2024 |
R-4.5-linux | WARNING | Oct 31 2024 |
R-4.4-win | WARNING | Oct 31 2024 |
R-4.4-mac | WARNING | Oct 31 2024 |
R-4.3-win | WARNING | Oct 31 2024 |
R-4.3-mac | WARNING | Oct 31 2024 |
Exports:cv.mr_covregmr_covregmr_covreg_lam
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross-validation for mr_covreg | cv.mr_covreg |
Causal effect estimation via covariate regularization | mr_covreg |
Causal effect estimation via covariate regularization for a specified tuning parameter value | mr_covreg_lam |