semmcmc: Bayesian Structural Equation Modeling in Multiple Omics Data Integration (original) (raw)
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 |
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