Package: semmcmc 0.0.6
semmcmc: Bayesian Structural Equation Modeling in Multiple Omics Data Integration
Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is useful when one attempts to perform an integrative survival analysis for multiple platforms of the Omics data where the response is time to event and the predictors are different omics expressions for different platforms.
Authors:
semmcmc_0.0.6.tar.gz
semmcmc_0.0.6.zip(r-4.7)semmcmc_0.0.6.zip(r-4.6)semmcmc_0.0.6.zip(r-4.5)
semmcmc_0.0.6.tgz(r-4.6-any)semmcmc_0.0.6.tgz(r-4.5-any)
semmcmc_0.0.6.tar.gz(r-4.7-any)semmcmc_0.0.6.tar.gz(r-4.6-any)
semmcmc_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
semmcmc/json (API)
| # Install 'semmcmc' in R: |
| install.packages('semmcmc', repos = c('https://maitya02.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/maitya02/semmcmc/issues
Last updated from:c174b470cd. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 100 | ||
| source / vignettes | OK | 199 | ||
| linux-release-x86_64 | OK | 99 | ||
| macos-release-arm64 | OK | 144 | ||
| macos-oldrel-arm64 | OK | 132 | ||
| windows-devel | OK | 108 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 90 |
Exports:mcmc
Dependencies:cliexpmgenericsgluelatticelifecyclemagrittrMASSMatrixmsmmvtnormpillarpkgconfigrlangsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mcmc function | mcmc |
