Package: MVMRcML 0.1.0
MVMRcML: Multivariable Mendelian randomization based on constrained maximum likelihood
Robust multivariable Mendelian randomization based on constrained maximum likelihood.
Authors:
MVMRcML_0.1.0.tar.gz
MVMRcML_0.1.0.zip(r-4.5)MVMRcML_0.1.0.zip(r-4.4)MVMRcML_0.1.0.zip(r-4.3)
MVMRcML_0.1.0.tgz(r-4.4-x86_64)MVMRcML_0.1.0.tgz(r-4.4-arm64)MVMRcML_0.1.0.tgz(r-4.3-x86_64)MVMRcML_0.1.0.tgz(r-4.3-arm64)
MVMRcML_0.1.0.tar.gz(r-4.5-noble)MVMRcML_0.1.0.tar.gz(r-4.4-noble)
MVMRcML_0.1.0.tgz(r-4.4-emscripten)MVMRcML_0.1.0.tgz(r-4.3-emscripten)
MVMRcML.pdf |MVMRcML.html✨
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
Last updated 7 months agofrom:20d09a5463. Checks:OK: 1 NOTE: 8. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | NOTE | Nov 02 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 02 2024 |
R-4.4-win-x86_64 | NOTE | Nov 02 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 02 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 02 2024 |
R-4.3-win-x86_64 | NOTE | Nov 02 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 02 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 02 2024 |
Exports:invcov_mvmrMVcML_SdThetaMVmr_cMLMVmr_cML_DP
Dependencies:numDerivRcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Generate the list of inverse of covariance matrices used in 'MVMR-cML-DP' | invcov_mvmr |
Standard error estimate for MVMR-cML-BIC | MVcML_SdTheta |
MVMRcML method with BIC selection | MVmr_cML |
MVMRcML method with Data Perturbation | MVmr_cML_DP |