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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.
Version: | 0.0.6 |
Depends: | R (≥ 4.0) |
Imports: | MASS, msm |
Published: | 2021-05-13 |
DOI: | 10.32614/CRAN.package.semmcmc |
Author: | Arnab Maity [aut, cre], Sang Chan Lee [aut], Bani K. Mallick [aut], Samsiddhi Bhattacharjee [aut], Nidhan K. Biswas [aut] |
Maintainer: | Arnab Maity <arnab.maity at pfizer.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | semmcmc citation info |
Materials: | README |
In views: | Omics |
CRAN checks: | semmcmc results |
Reference manual: | semmcmc.pdf |
Package source: | semmcmc_0.0.6.tar.gz |
Windows binaries: | r-devel: semmcmc_0.0.6.zip, r-release: semmcmc_0.0.6.zip, r-oldrel: semmcmc_0.0.6.zip |
macOS binaries: | r-release (arm64): semmcmc_0.0.6.tgz, r-oldrel (arm64): semmcmc_0.0.6.tgz, r-release (x86_64): semmcmc_0.0.6.tgz, r-oldrel (x86_64): semmcmc_0.0.6.tgz |
Old sources: | semmcmc archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.