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.
| Version: |
0.0.6 |
| Depends: |
R (≥ 4.0) |
| Imports: |
MASS, msm |
| Published: |
2021-05-13 |
| 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 |
| CRAN checks: |
semmcmc results |
Documentation:
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