Package: PPMR 1.0
Michael Kleinsasser
PPMR: Probabilistic Two Sample Mendelian Randomization
Efficient statistical inference of two-sample MR (Mendelian Randomization) analysis. It can account for the correlated instruments and the horizontal pleiotropy, and can provide the accurate estimates of both causal effect and horizontal pleiotropy effect as well as the two corresponding p-values. There are two main functions in the 'PPMR' package. One is PMR_individual() for individual level data, the other is PMR_summary() for summary data.
Authors:
PPMR_1.0.tar.gz
PPMR_1.0.tar.gz(r-4.5-noble)PPMR_1.0.tar.gz(r-4.4-noble)
PPMR_1.0.tgz(r-4.4-emscripten)PPMR_1.0.tgz(r-4.3-emscripten)
PPMR.pdf |PPMR.html✨
PPMR/json (API)
| # Install 'PPMR' in R: |
| install.packages('PPMR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umich-biostatistics/ppmr/issues
- Exampleindividual - Individual level dataset
- Examplesummary - Summary level dataset
Last updated 5 years agofrom:cdf2bc7569. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 04 2024 |
Exports:PMR_individualPMR_summary
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Individual level dataset | Exampleindividual |
| Summary level dataset | Examplesummary |
| PMR model with individual level data | PMR_individual |
| PMR model with summary data | PMR_summary |
