remlapmot. To fix this you can add URL: https://mrcieu.r-universe.dev/MVMR.CUE to the package DESCRIPTION file. See also theR-universe documentation.Package: MVMR.CUE 1.0
MVMR.CUE: Multivariable Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology
Multivariable Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology.
Authors:
MVMR.CUE_1.0.tar.gz
MVMR.CUE_1.0.zip(r-4.7)MVMR.CUE_1.0.zip(r-4.6)MVMR.CUE_1.0.zip(r-4.5)
MVMR.CUE_1.0.tgz(r-4.6-x86_64)MVMR.CUE_1.0.tgz(r-4.6-arm64)MVMR.CUE_1.0.tgz(r-4.5-x86_64)MVMR.CUE_1.0.tgz(r-4.5-arm64)
MVMR.CUE_1.0.tar.gz(r-4.7-arm64)MVMR.CUE_1.0.tar.gz(r-4.7-x86_64)MVMR.CUE_1.0.tar.gz(r-4.6-arm64)MVMR.CUE_1.0.tar.gz(r-4.6-x86_64)
MVMR.CUE_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MVMR.CUE/json (API)
| # Install 'MVMR.CUE' in R: |
| install.packages('MVMR.CUE', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/remlapmot/mvmr.cue/issues
- openblas– Optimized BLAS
- c++– GNU Standard C++ Library v3
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
Last updated from:b6b793182f (on suggestions). Checks:13 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 200 | ||
| linux-devel-x86_64 | OK | 220 | ||
| source / vignettes | OK | 231 | ||
| linux-release-arm64 | OK | 194 | ||
| linux-release-x86_64 | OK | 196 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-release-x86_64 | OK | 343 | ||
| macos-oldrel-arm64 | OK | 139 | ||
| macos-oldrel-x86_64 | OK | 467 | ||
| windows-devel | OK | 187 | ||
| windows-release | OK | 178 | ||
| windows-oldrel | OK | 396 | ||
| wasm-release | OK | 143 |
Exports:cv.mvmr_lassogenRawmr_horsemvmr_horsemvmr_lassomvmr_med_bootmvmr_medianmvmr_robustMVMRCUEMVMRCUEfunMVMRCUEIndepSampleMVMRCUEoverlapfunrcpparma_bothproductsrcpparma_hello_worldrcpparma_innerproductrcpparma_outerproduct
Dependencies:abindarrangementsaskpassbase64encbootbslibcachemclicodacodetoolscpp11crosstalkcurldata.tableDEoptimRdigestdplyrevaluatefarverfastmapfontawesomeforeachfsgenericsggplot2glmnetgluegmpgtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsiterpcjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmemoiseMendelianRandomizationmimemvtnormnumDerivopensslotelpillarpkgconfigplotlypromisespurrrquantregR2jagsR2WinBUGSR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrjagsrjsonrlangrmarkdownrobustbaseS7sassscalesshapeSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multivariable Mendelian Randomization Accounting for Correlated Horizontal Pleiotropy | MVMR.CUE-package |
| Example MVMR Summary Statistics | gamma1 Gamma2 se1 se2 |
| Generate Raw Genetic Data | genRaw |
| HORSE Mendelian Randomization via MCMC | mr_horse mvmr_horse |
| Multivariable LASSO Mendelian Randomization | cv.mvmr_lasso mvmr_lasso |
| Multivariable Weighted Median Mendelian Randomization | mvmr_median mvmr_med_boot |
| Multivariable Robust Regression Mendelian Randomization | mvmr_robust |
| Multivariable Mendelian Randomization Accounting for Correlated Pleiotropy | MVMRCUE MVMRCUEfun MVMRCUEIndepSample MVMRCUEoverlapfun |
| Set of functions in example RcppArmadillo package | rcpparma_bothproducts rcpparma_hello_world rcpparma_innerproduct rcpparma_outerproduct |
